Skip to main content

Home/ Future of the Web/ Group items tagged semantic search

Rss Feed Group items tagged

Gary Edwards

Official Google Webmaster Central Blog: Introducing Rich Snippets - 0 views

  •  
    Google "Rich Snippets" is a new presentation of HTML snippets that applies Google's algorithms to highlight structured data embedded in web pages. Rich Snippets give end-users convenient summary information about their search results at a glance. Google is currently supporting a very limited subset of data about reviews and people. When searching for a product or service, users can easily see reviews and ratings, and when searching for a person, they'll get help distinguishing between people with the same name. It's a simple change to the display of search results, yet our experiments have shown that users find the new data valuable. For this to work though, both Web-masters and Web-workers have to annotate thier pages with structured data in a standard format. Google snippets supports microformats and RDFa. Existing Web data can be wrapped with some additional tags to accomplish this. Notice that Google avoids mention of RDF and the W3C's vision of a "Semantic Web" where Web objects are fully described in machine readable semantics. Over at the WHATWG group, where work on HTML5 continues, Google's Ian Hickson has been fighting RDFa and the Semantic Web in what looks to be an effort to protect the infamous Google algorithms. RDFa provides a means for Web-workers, knowledge-workers, line-of-business managers and document generating end-users to enrich their HTML+ with machine semantics. The idea being that the document experts creating Web content can best describe to search engine and content management machines the objects-of-information used. The google algorithms provide a proprietary semantics of this same content. The best solution to the tsunami of conten the Web has wrought would be to combine end-user semantic expertise with Google algorithms. Let's hope Google stays the RDFa course and comes around to recognize the full potential of organizing the world's information with the input of content providers. One thing the world desperatel
Paul Merrell

Expert System Guns for Google with Semantic Search, Advertising - 0 views

  • Would-be Google AdSense rival Expert System launches its Cogito Semantic Advertiser tool, which discerns the meaning and context of words to provide more relevant ads. By leveraging semantic technologies, Expert System joins a cadre of search providers that includes Microsoft-owned Powerset, Hakia, Yedda and Zoomix.
  • The problem is that AdSense relies on keyword frequency but doesn't drill down into the semantics—the meaning in the words. Cogito Semantic Advertiser attempts to go further by using semantic intelligence to analyze the text on each page and ensure that ads are placed appropriately to increase click-through rates.
  • Asher told me Cogito Semantic Advertiser understands content based on four key methodologies: studying the morphology of words; looking at parts of speech; sentence logic, or the reduction of sentences to subject, verb and object; and disambiguation, which in the case of the jaguar story paired with the Jaguar car ad would determine whether or not the text referred to a car or an animal.
Paul Merrell

Hakia Retools Semantic Search Engine to Better Battle Google, Yahoo - 0 views

  • Semantic search engine startup Hakia has retooled its Web site, adding tabs for news, images and "credible" site searches as a way to differentiate between its search approach and what it calls the "10 blue links" approach search incumbents Google, Yahoo and Microsoft have used in the first era of search engines. Hakia employs semantic search technologies, leveraging natural language processing to derive broader meaning from search queries.
  • Hakia began hawking "credible" Web sites, vetted by librarians and informational professionals, in April for health and medical searches drawing from sites examined by the Medical Library Association. These sites have a peer review process or strict editorial controls to ensure the accuracy of the information and zero commercial bias. The idea is to clearly define sites users can trust in an age when do-it-yourself chronicling via Wikipedia and other sites that enable crowdsourcing activities has led to some questionable results.
Paul Merrell

Update: Google rolls out semantic search capabilities | InfoWorld | News | 2009-03-24 |... - 0 views

  •   Google has given its Web search engine an injection of semantic technology, as the search leader pushes into what many consider the future of search on the Internet. Oracle White Paper - Nucleus Report: Who's ready for SMB? - read this white paper. getRelatedBoxOne("/article/09/03/24/Google_rolls_out_semantic_search_capabilities_1.html","spBoxOne") The new technology will allow Google's search engine to identify associations and concepts related to a query, improving the list of related search terms Google displays along with its results, the company announced in an official blog on Tuesday.
  • Google has given its Web search engine an injection of semantic technology, as the search leader pushes into what many consider the future of search on the Internet.
  • The new technology will allow Google's search engine to identify associations and concepts related to a query, improving the list of related search terms Google displays along with its results, the company announced in an official blog on Tuesday.
Gary Edwards

Wolfram Alpha is Coming -- and It Could be as Important as Google | Twine - 0 views

  • The first question was could (or even should) Wolfram Alpha be built using the Semantic Web in some manner, rather than (or as well as) the Mathematica engine it is currently built on. Is anything missed by not building it with Semantic Web's languages (RDF, OWL, Sparql, etc.)? The answer is that there is no reason that one MUST use the Semantic Web stack to build something like Wolfram Alpha. In fact, in my opinion it would be far too difficult to try to explicitly represent everything Wolfram Alpha knows and can compute using OWL ontologies. It is too wide a range of human knowledge and giant OWL ontologies are just too difficult to build and curate.
  • However for the internal knowledge representation and reasoning that takes places in the system, it appears Wolfram has found a pragmatic and efficient representation of his own, and I don't think he needs the Semantic Web at that level. It seems to be doing just fine without it. Wolfram Alpha is built on hand-curated knowledge and expertise. Wolfram and his team have somehow figured out a way to make that practical where all others who have tried this have failed to achieve their goals. The task is gargantuan -- there is just so much diverse knowledge in the world. Representing even a small segment of it formally turns out to be extremely difficult and time-consuming.
  • It has generally not been considered feasible for any one group to hand-curate all knowledge about every subject. This is why the Semantic Web was invented -- by enabling everyone to curate their own knowledge about their own documents and topics in parallel, in principle at least, more knowledge could be represented and shared in less time by more people -- in an interoperable manner. At least that is the vision of the Semantic Web.
  • ...1 more annotation...
  • Where Google is a system for FINDING things that we as a civilization collectively publish, Wolfram Alpha is for ANSWERING questions about what we as a civilization collectively know. It's the next step in the distribution of knowledge and intelligence around the world -- a new leap in the intelligence of our collective "Global Brain." And like any big next-step, Wolfram Alpha works in a new way -- it computes answers instead of just looking them up.
  •  
    A Computational Knowledge Engine for the Web In a nutshell, Wolfram and his team have built what he calls a "computational knowledge engine" for the Web. OK, so what does that really mean? Basically it means that you can ask it factual questions and it computes answers for you. It doesn't simply return documents that (might) contain the answers, like Google does, and it isn't just a giant database of knowledge, like the Wikipedia. It doesn't simply parse natural language and then use that to retrieve documents, like Powerset, for example. Instead, Wolfram Alpha actually computes the answers to a wide range of questions -- like questions that have factual answers such as "What country is Timbuktu in?" or "How many protons are in a hydrogen atom?" or "What is the average rainfall in Seattle this month?," "What is the 300th digit of Pi?," "where is the ISS?" or "When was GOOG worth more than $300?" Think about that for a minute. It computes the answers. Wolfram Alpha doesn't simply contain huge amounts of manually entered pairs of questions and answers, nor does it search for answers in a database of facts. Instead, it understands and then computes answers to certain kinds of questions.
Gary Edwards

Microsoft, Google Search and the Future of the Open Web - Google Docs - 0 views

  •  
    Response to the InformationWeek article "Remaking Microsoft: Get Out of Web Search!". Covers "The Myth of Google Enterprise Search", and the refusal of Google to implement or recognize W3C Semantic Web technologies. This refusal protects Google's proprietary search and categorization algorithms, but it opens the door wide for Microsoft Office editors to totally exploit the end-user semantic interface opportunities. If Microsoft can pull this off, they will take "search" to the Enterprise and beyond into every high end discipline using MSOffice to edit Web ready documents (private and public use). Also a bit about WebKit as the most disruptive technology Microsoft has faced since the advent of the Web.
Gary Edwards

XML Production Workflows? Start with the Web and XHTML - 0 views

  • Challenges: Some Ugly Truths The challenges of building—and living with—an XML workflow are clear enough. The return on investment is a long-term proposition. Regardless of the benefits XML may provide, the starting reality is that it represents a very different way of doing things than the one we are familiar with. The Word Processing and Desktop Publishing paradigm, based on the promise of onscreen, WYSIWYG layout, is so dominant as to be practically inescapable. It has proven really hard to get from here to there, no matter how attractive XML might be on paper. A considerable amount of organizational effort and labour must be expended up front in order to realize the benefits. This is why XML is often referred to as an “investment”: you sink a bunch of time and money up front, and realize the benefits—greater flexibility, multiple output options, searching and indexing, and general futureproofing—later, over the long haul. It is not a short-term return proposition. And, of course, the returns you are able to realize from your XML investment are commensurate with what you put in up front: fine-grained, semantically rich tagging is going to give you more potential for searchability and recombination than a looser, more general-purpose approach, but it sure costs more. For instance, the Text Encoding Initiative (TEI) is the grand example of pouring enormous amounts of energy into the up-front tagging, with a very open-ended set of possibilities down the line. TEI helpfully defines a level to which most of us do not have to aspire.[5] But understanding this on a theoretical level is only part of the challenge. There are many practical issues that must be addressed. Software and labour are two of the most critical. How do you get the content into XML in the first place? Unfortunately, despite two decades of people doing SGML and XML, this remains an ugly question.
  • Practical Challenges In 2009, there is still no truly likeable—let alone standard—editing and authoring software for XML. For many (myself included), the high-water mark here was Adobe’s FrameMaker, substantially developed by the late 1990s. With no substantial market for it, it is relegated today mostly to the tech writing industry, unavailable for the Mac, and just far enough afield from the kinds of tools we use today that its adoption represents a significant hurdle. And FrameMaker was the best of the breed; most of the other software in decent circulation are programmers’ tools—the sort of things that, as Michael Tamblyn pointed out, encourage editors to drink at their desks. The labour question represents a stumbling block as well. The skill-sets and mind-sets that effective XML editors need have limited overlap with those needed by literary and more traditional production editors. The need to think of documents as machine-readable databases is not something that comes naturally to folks steeped in literary culture. In combination with the sheer time and effort that rich tagging requires, many publishers simply outsource the tagging to India, drawing a division of labour that spans oceans, to put it mildly. Once you have XML content, then what do you do with it? How do you produce books from it? Presumably, you need to be able to produce print output as well as digital formats. But while the latter are new enough to be generally XML-friendly (e-book formats being largely XML based, for instance), there aren’t any straightforward, standard ways of moving XML content into the kind of print production environments we are used to seeing. This isn’t to say that there aren’t ways of getting print—even very high-quality print—output from XML, just that most of them involve replacing your prepress staff with Java programmers.
  • Why does this have to be so hard? It’s not that XML is new, or immature, or untested. Remember that the basics have been around, and in production, since the early 1980s at least. But we have to take account of a substantial and long-running cultural disconnect between traditional editorial and production processes (the ones most of us know intimately) and the ways computing people have approached things. Interestingly, this cultural divide looked rather different in the 1970s, when publishers were looking at how to move to digital typesetting. Back then, printers and software developers could speak the same language. But that was before the ascendancy of the Desktop Publishing paradigm, which computerized the publishing industry while at the same time isolating it culturally. Those of us who learned how to do things the Quark way or the Adobe way had little in common with people who programmed databases or document-management systems. Desktop publishing technology isolated us in a smooth, self-contained universe of toolbars, grid lines, and laser proofs. So, now that the reasons to get with this program, XML, loom large, how can we bridge this long-standing divide?
  • ...44 more annotations...
  • Using the Web as a Production Platform The answer, I think, is right in front of you. The bridge is the Web, a technology and platform that is fundamentally based on XML, and which many publishers are by now comfortably familiar with. Perhaps not entirely comfortably, but at least most publishers are already working with the Web; they already either know or have on staff people who understand it and can work with it. The foundation of our argument is this: rather than looking at jumping to XML in its full, industrial complexity, which seems to be what the O'Reilly-backed StartWithXML initiative[6] is suggesting, publishers instead leverage existing tools and technologies—starting with the Web—as a means of getting XML workflows in place. This means making small investments and working with known tools rather than spending tens of thousands of dollars on XML software and rarefied consultants. It means re-thinking how the existing pieces of the production toolchain fit together; re-thinking the existing roles of software components already in use. It means, fundamentally, taking the Web seriously as a content platform, rather than thinking of it as something you need to get content out to, somehow. If nothing else, the Web represents an opportunity to think about editorial and production from outside the shrink-wrapped Desktop Publishing paradigm.
  • Is the Web made of Real XML? At this point some predictable objections can be heard: wait a moment, the Web isn’t really made out of XML; the HTML that makes up most of the Web is at best the bastard child of SGML, and it is far too flaky/unstructured/underpowered to be taken seriously. We counter by arguing that although HTML on the Web exists in a staggering array of different incarnations, and that the majority of it is indeed an unstructured mess, this does not undermine the general principle that basic, ubiquitous Web technologies can make a solid platform for content management, editorial process, and production workflow.
  • With the advent of a published XML standard in the late 1990s came the W3C’s adoption of XHTML: the realization of the Web’s native content markup as a proper XML document type. Today, its acceptance is almost ubiquitous, even while the majority of actual content out there may not be strictly conforming. The more important point is that most contemporary Web software, from browsers to authoring tools to content management systems (from blogs to enterprise systems), are capable of working with clean, valid XHTML. Or, to put the argument the other way around, clean, valid XHTML content plays absolutely seamlessly with everything else on the Web.[7]
  • The objection which follows, then, will be that even if we grant that XHTML is a real XML document type, that it is underpowered for “serious” content because it is almost entirely presentation (formatting) oriented; it lacks any semantic depth. In XHTML, a paragraph is a paragraph is a paragraph, as opposed to a section or an epigraph or a summary.
  • n contrast, more “serious” XML document types like DocBook[8] or DITA-derived schemas[9] are capable of making semantic distinctions about content chunks at a fine level of granularity and with a high degree of specificity.
  • So there is an argument for recalling the 80:20 rule here. If XHTML can provide 80% of the value with just 20% of the investment, then what exactly is the business case for spending the other 80% to achieve that last 20% of value? We suspect the ratio is actually quite a bit steeper than 80:20 for most publishers.
  • Furthermore, just to get technical for a moment, XHTML is extensible in a fairly straightforward way, through the common “class” attribute on each element. Web developers have long leveraged this kind of extensibility in the elaboration of “microformats” for semantic-web applications.[10] There is no reason why publishers shouldn’t think to use XHTML’s simple extensibility in a similar way for their own ends.
  • XHTML, on the other hand, is supported by a vast array of quotidian software, starting with the ubiquitous Web browser. For this very reason, XHTML is in fact employed as a component part of several more specialized document types (ONIX and ePub among them).
  • Why re-invent a general-purpose prose representation when XHTML already does the job?
  • It is worth pausing for a moment to consider the role of XHTML in the ePub standard for ebook content. An ePub file is, anatomically, a simply disguised zip archive. Inside the zip archive are a few standard component parts: there are specialized files that declare metadata about the book, and about the format of the book. And then there is the book’s content, represented in XHTML. An ePub book is a Web page in a wrapper.
  • To sum up the general argument: the Web as it already exists presents incredible value to publishers, as a platform for doing XML content management with existing (and often free) tools, and without having to go blindly into the unknown. At this point, we can offer a few design guidelines: prefer existing and/or ubiquitous tools over specialized ones wherever possible; prefer free software over proprietary systems where possible; prefer simple tools controlled and coordinated by human beings over fully automated (and therefore complex) systems; play to our strengths: use Web software for storing and managing content, use layout software for layout, and keep editors and production people in charge of their own domains.
  • Putting the Pieces Together: A Prototype
  • At the SFU Master of Publishing Program, we have been chipping away at this general line of thinking for a few years. Over that time, Web content management systems have been getting more and more sophisticated, all the while getting more streamlined and easier to use. (NB: if you have a blog, you have a Web content management system.) The Web is beginning to be recognized as a writing and editing environment used by millions of people. And the ways in which content is represented, stored, and exchanged online have become increasingly robust and standardized.
  • The missing piece of the puzzle has been print production: how can we move content from its malleable, fluid form on line into the kind of high-quality print production environments we’ve come to expect after two decades of Desktop Publishing?
  • Anyone who has tried to print Web content knows that the existing methods leave much to be desired (hyphenation and justification, for starters). In the absence of decent tools for this, most publishers quite naturally think of producing the print content first, and then think about how to get material onto the Web for various purposes. So we tend to export from Word, or from Adobe, as something of an afterthought.
  • While this sort of works, it isn’t elegant, and it completely ignores the considerable advantages of Web-based content management.
  • Content managed online is stored in one central location, accessible simultaneously to everyone in your firm, available anywhere you have an Internet connection, and usually exists in a much more fluid format than Word files. If only we could manage the editorial flow online, and then go to print formats at the end, instead of the other way around. At SFU, we made several attempts to make this work by way of the supposed “XML import” capabilities of various Desktop Publishing tools, without much success.[12]
  • In the winter of 2009, Adobe solved this part of the problem for us with the introduction of its Creative Suite 4. What CS4 offers is the option of a complete XML representation of an InDesign document: what Adobe calls IDML (InDesign Markup Language).
  • The IDML file format is—like ePub—a simply disguised zip archive that, when unpacked, reveals a cluster of XML files that represent all the different facets of an InDesign document: layout spreads, master pages, defined styles, colours, and of course, the content.
  • IDML is a well thought-out XML standard that achieves two very different goals simultaneously: it preserves all of the information that InDesign needs to do what it does; and it is broken up in a way that makes it possible for mere mortals (or at least our Master of Publishing students) to work with it.
  • What this represented to us in concrete terms was the ability to take Web-based content and move it into InDesign in a straightforward way, thus bridging Web and print production environments using existing tools and skillsets, with a little added help from free software.
  • We would take clean XHTML content, transform it to IDML-marked content, and merge that with nicely designed templates in InDesign.
  • The result is an almost push-button publication workflow, which results in a nice, familiar InDesign document that fits straight into the way publishers actually do production.
  • Tracing the steps To begin with, we worked backwards, moving the book content back to clean XHTML.
  • The simplest method for this conversion—and if you want to create Web content, this is an excellent route—was to use Adobe’s “Export to Digital Editions” option, which creates an ePub file.
  • Recall that ePub is just XHTML in a wrapper, so within the ePub file was a relatively clean XHTML document. It was somewhat cleaner (that is, the XHTML tagging was simpler and less cluttered) than InDesign’s other Web-oriented exports, possibly because Digital Editions is a well understood target, compared with somebody’s website.
  • In order to achieve our target of clean XHTML, we needed to do some editing; the XHTML produced by InDesign’s “Digital Editions” export was presentation-oriented. For instance, bulleted list items were tagged as paragraphs, with a class attribute identifying them as list items. Using the search-and-replace function, we converted such structures to proper XHTML list and list-item elements. Our guiding principle was to make the XHTML as straightforward as possible, not dependent on any particular software to interpret it.
  • We broke the book’s content into individual chapter files; each chapter could then carry its own basic metadata, and the pages conveniently fit our Web content management system (which is actually just a wiki). We assembled a dynamically generated table of contents for the 12 chapters, and created a cover page. Essentially, the book was entirely Web-based at this point.
  • When the book chapters are viewed online, they are formatted via a CSS2 stylesheet that defines a main column for content as well as dedicating screen real estate for navigational elements. We then created a second template to render the content for exporting; this was essentially a bare-bones version of the book with no navigation and minimal styling. Pages (or even the entire book) can be exported (via the “Save As...” function in a Web browser) for use in either print production or ebook conversion. At this point, we required no skills beyond those of any decent Web designer.
  • Integrating with CS4 for Print Adobe’s IDML language defines elements specific to InDesign; there is nothing in the language that looks remotely like XHTML. So a mechanical transformation step is needed to convert the XHTML content into something InDesign can use. This is not as hard as it might seem.
  • Both XHTML and IDML are composed of straightforward, well-documented structures, and so transformation from one to the other is, as they say, “trivial.” We chose to use XSLT (Extensible Stylesheet Language Transforms) to do the work. XSLT is part of the overall XML specification, and thus is very well supported in a wide variety of tools. Our prototype used a scripting engine called xsltproc, a nearly ubiquitous piece of software that we found already installed as part of Mac OS X (contemporary Linux distributions also have this as a standard tool), though any XSLT processor would work.
  • In other words, we don’t need to buy InCopy, because we just replaced it with the Web. Our wiki is now plugged directly into our InDesign layout. It even automatically updates the InDesign document when the content changes. Credit is due at this point to Adobe: this integration is possible because of the open file format in the Creative Suite 4.
  • We wrote an XSLT transformation script[18] that converted the XHTML content from the Web into an InCopy ICML file. The script itself is less than 500 lines long, and was written and debugged over a period of about a week by amateurs (again, the people named at the start of this article). The script runs in a couple of seconds, and the resulting .icml file can then be “placed” directly into an InDesign template. The ICML file references an InDesign stylesheet, so the template file can be set up with a house-styled layout, master pages, and stylesheet definitions for paragraphs and character ranges.
  • The result is very simple and easy to use. Our demonstration requires that a production editor run the XSLT transformation script manually, but there is no reason why this couldn’t be built directly into the Web content management system so that exporting the content to print ran the transformation automatically. The resulting file would then be “placed” in InDesign and proofed.
  • It should be noted that the Book Publishing 1 proof-of-concept was artificially complex; we began with a book laid out in InDesign and ended up with a look-alike book laid out in InDesign. But next time—for instance, when we publish Book Publishing 2—we can begin the process with the content on the Web, and keep it there throughout the editorial process. The book’s content could potentially be written and edited entirely online, as Web content, and then automatically poured into an InDesign template at proof time. “Just in time,” as they say. This represents an entirely new way of thinking of book production. With a Web-first orientation, it makes little sense to think of the book as “in print” or “out of print”—the book is simply available, in the first place online; in the second place in derivative digital formats; and third, but really not much more difficult, in print-ready format, via the usual InDesign CS print production system publishers are already familiar with.
  • Creating Ebook Files Creating electronic versions from XHTML source is vastly simpler than trying to generate these out of the existing print process. The ePub version is extremely easy to generate; so is online marketing copy or excerpts for the Web, since the content begins life Web-native.
  • Since an ePub file is essentially XHTML content in a special wrapper, all that is required is that we properly “wrap” our XHTML content. Ideally, the content in an ePub file is broken into chapters (as ours was) and a table of contents file is generated in order to allow easy navigation within an ebook reader. We used Julian Smart’s free tool eCub[19] to simply and automatically generate the ePub wrapper and the table of contents. The only custom development we did was to create a CSS stylesheet for the ebook so that headings and paragraph indents looked the way we wanted. Starting with XHTML content, creating ePub is almost too easy.
  • Such a workflow—beginning with the Web and exporting to print—is surely more in line with the way we will do business in the 21st century, where the Web is the default platform for reaching audiences, developing content, and putting the pieces together. It is time, we suggest, for publishers to re-orient their operations and start with the Web.
  • Our project demonstrates that Web technologies are indeed good enough to use in an XML-oriented workflow; more specialized and expensive options are not necessarily required. For massive-scale enterprise publishing, this approach may not offer enough flexibility, and the challenge of adding and extracting extra semantic richness may prove more trouble than it's worth.
  • But for smaller firms who are looking at the straightforward benefits of XML-based processes—single source publishing, online content and workflow management, open and accessible archive formats, greater online discoverability—here is a way forward.
  • Rather than a public-facing website, our system relies on the Web as a content management platform—of course a public face could easily be added.
  • The final piece of our puzzle, the ability to integrate print production, was made possible by Adobe's release of InDesign with an open XML file format. Since the Web's XHTML is also XML, is can be easily and confidently transformed to the InDesign format.
  • today, we are able to put the process together using nothing but standard, relatively ubiquitous Web tools: the Web itself as an editing and content management environment, standard Web scripting tools for the conversion process, and the well-documented IDML file format to integrate the layout tool.
  • Using the Web as a Production Platform
  •  
    I was looking for an answer to a problem Marbux had presented, and found this interesting article.  The issue was that of the upcoming conversion of the Note Case Pro (NCP) layout engine to the WebKit layout engine, and what to do about the NCP document format. My initial reaction was to encode the legacy NCP document format in XML, and run an XSLT to a universal pivot format like TEI-XML.  From there, the TEI-XML community would provide all the XSLT transformation routines for conversion to ODF, OOXML, XHTML, ePUB and HTML/CSS. Researching the problems one might encounter with this approach, I found this article.  Fascinating stuff. My take away is that TEI-XML would not be as effective a "universal pivot point" as XHTML.  Or perhaps, if NCP really wants to get aggressive; IDML - InDesign Markup Language. The important point though is that XHTML is a browser specific version of XML, and compatible with the Web Kit layout engine Miro wants to move NCP to. The concept of encoding an existing application-specific format in XML has been around since 1998, when XML was first introduced as a W3C standard, a "structured" subset of SGML. (HTML is also a subset of SGML). The multiplatform StarOffice productivity suite became "OpenOffice" when Sun purchased the company in 1998, and open sourced the code base. The OpenOffice developer team came out with a XML encoding of their existing document formats in 2000. The application specific encoding became an OASIS document format standard proposal in 2002 - also known as ODF. Microsoft followed OpenOffice with a XML encoding of their application-specific binary document formats, known as OOXML. Encoding the existing NCP format in XML, specifically targeting XHTML as a "universal pivot point", would put the NCP Outliner in the Web editor category, without breaking backwards compatibility. The trick is in the XSLT conversion process. But I think that is something much easier to handle then trying to
  •  
    I was looking for an answer to a problem Marbux had presented, and found this interesting article.  The issue was that of the upcoming conversion of the Note Case Pro (NCP) layout engine to the WebKit layout engine, and what to do about the NCP document format. My initial reaction was to encode the legacy NCP document format in XML, and run an XSLT to a universal pivot format like TEI-XML.  From there, the TEI-XML community would provide all the XSLT transformation routines for conversion to ODF, OOXML, XHTML, ePUB and HTML/CSS. Researching the problems one might encounter with this approach, I found this article.  Fascinating stuff. My take away is that TEI-XML would not be as effective a "universal pivot point" as XHTML.  Or perhaps, if NCP really wants to get aggressive; IDML - InDesign Markup Language. The important point though is that XHTML is a browser specific version of XML, and compatible with the Web Kit layout engine Miro wants to move NCP to. The concept of encoding an existing application-specific format in XML has been around since 1998, when XML was first introduced as a W3C standard, a "structured" subset of SGML. (HTML is also a subset of SGML). The multiplatform StarOffice productivity suite became "OpenOffice" when Sun purchased the company in 1998, and open sourced the code base. The OpenOffice developer team came out with a XML encoding of their existing document formats in 2000. The application specific encoding became an OASIS document format standard proposal in 2002 - also known as ODF. Microsoft followed OpenOffice with a XML encoding of their application-specific binary document formats, known as OOXML. Encoding the existing NCP format in XML, specifically targeting XHTML as a "universal pivot point", would put the NCP Outliner in the Web editor category, without breaking backwards compatibility. The trick is in the XSLT conversion process. But I think that is something much easier to handle then trying to
Paul Merrell

The Strongest Link: Libraries and Linked Data - 2 views

  • Abstract Since 1999 the W3C has been working on a set of Semantic Web standards that have the potential to revolutionize web search. Also known as Linked Data, the Machine-Readable Web, the Web of Data, or Web 3.0, the Semantic Web relies on highly structured metadata that allow computers to understand the relationships between objects. Semantic web standards are complex, and difficult to conceptualize, but they offer solutions to many of the issues that plague libraries, including precise web search, authority control, classification, data portability, and disambiguation. This article will outline some of the benefits that linked data could have for libraries, will discuss some of the non-technical obstacles that we face in moving forward, and will finally offer suggestions for practical ways in which libraries can participate in the development of the semantic web.
  •  
    See also Wikipedia on Linked Data: http://en.wikipedia.org/wiki/Linked_Data
Paul Merrell

The Latest Rules on How Long NSA Can Keep Americans' Encrypted Data Look Too Familiar |... - 0 views

  • Does the National Security Agency (NSA) have the authority to collect and keep all encrypted Internet traffic for as long as is necessary to decrypt that traffic? That was a question first raised in June 2013, after the minimization procedures governing telephone and Internet records collected under Section 702 of the Foreign Intelligence Surveillance Act were disclosed by Edward Snowden. The issue quickly receded into the background, however, as the world struggled to keep up with the deluge of surveillance disclosures. The Intelligence Authorization Act of 2015, which passed Congress this last December, should bring the question back to the fore. It established retention guidelines for communications collected under Executive Order 12333 and included an exception that allows NSA to keep ‘incidentally’ collected encrypted communications for an indefinite period of time. This creates a massive loophole in the guidelines. NSA’s retention of encrypted communications deserves further consideration today, now that these retention guidelines have been written into law. It has become increasingly clear over the last year that surveillance reform will be driven by technological change—specifically by the growing use of encryption technologies. Therefore, any legislation touching on encryption should receive close scrutiny.
  • Section 309 of the intel authorization bill describes “procedures for the retention of incidentally acquired communications.” It establishes retention guidelines for surveillance programs that are “reasonably anticipated to result in the acquisition of [telephone or electronic communications] to or from a United States person.” Communications to or from a United States person are ‘incidentally’ collected because the U.S. person is not the actual target of the collection. Section 309 states that these incidentally collected communications must be deleted after five years unless they meet a number of exceptions. One of these exceptions is that “the communication is enciphered or reasonably believed to have a secret meaning.” This exception appears to be directly lifted from NSA’s minimization procedures for data collected under Section 702 of FISA, which were declassified in 2013. 
  • While Section 309 specifically applies to collection taking place under E.O. 12333, not FISA, several of the exceptions described in Section 309 closely match exceptions in the FISA minimization procedures. That includes the exception for “enciphered” communications. Those minimization procedures almost certainly served as a model for these retention guidelines and will likely shape how this new language is interpreted by the Executive Branch. Section 309 also asks the heads of each relevant member of the intelligence community to develop procedures to ensure compliance with new retention requirements. I expect those procedures to look a lot like the FISA minimization guidelines.
  • ...6 more annotations...
  • This language is broad, circular, and technically incoherent, so it takes some effort to parse appropriately. When the minimization procedures were disclosed in 2013, this language was interpreted by outside commentators to mean that NSA may keep all encrypted data that has been incidentally collected under Section 702 for at least as long as is necessary to decrypt that data. Is this the correct interpretation? I think so. It is important to realize that the language above isn’t just broad. It seems purposefully broad. The part regarding relevance seems to mirror the rationale NSA has used to justify its bulk phone records collection program. Under that program, all phone records were relevant because some of those records could be valuable to terrorism investigations and (allegedly) it isn’t possible to collect only those valuable records. This is the “to find a needle a haystack, you first have to have the haystack” argument. The same argument could be applied to encrypted data and might be at play here.
  • This exception doesn’t just apply to encrypted data that might be relevant to a current foreign intelligence investigation. It also applies to cases in which the encrypted data is likely to become relevant to a future intelligence requirement. This is some remarkably generous language. It seems one could justify keeping any type of encrypted data under this exception. Upon close reading, it is difficult to avoid the conclusion that these procedures were written carefully to allow NSA to collect and keep a broad category of encrypted data under the rationale that this data might contain the communications of NSA targets and that it might be decrypted in the future. If NSA isn’t doing this today, then whoever wrote these minimization procedures wanted to at least ensure that NSA has the authority to do this tomorrow.
  • There are a few additional observations that are worth making regarding these nominally new retention guidelines and Section 702 collection. First, the concept of incidental collection as it has typically been used makes very little sense when applied to encrypted data. The way that NSA’s Section 702 upstream “about” collection is understood to work is that technology installed on the network does some sort of pattern match on Internet traffic; say that an NSA target uses example@gmail.com to communicate. NSA would then search content of emails for references to example@gmail.com. This could notionally result in a lot of incidental collection of U.S. persons’ communications whenever the email that references example@gmail.com is somehow mixed together with emails that have nothing to do with the target. This type of incidental collection isn’t possible when the data is encrypted because it won’t be possible to search and find example@gmail.com in the body of an email. Instead, example@gmail.com will have been turned into some alternative, indecipherable string of bits on the network. Incidental collection shouldn’t occur because the pattern match can’t occur in the first place. This demonstrates that, when communications are encrypted, it will be much harder for NSA to search Internet traffic for a unique ID associated with a specific target.
  • This lends further credence to the conclusion above: rather than doing targeted collection against specific individuals, NSA is collecting, or plans to collect, a broad class of data that is encrypted. For example, NSA might collect all PGP encrypted emails or all Tor traffic. In those cases, NSA could search Internet traffic for patterns associated with specific types of communications, rather than specific individuals’ communications. This would technically meet the definition of incidental collection because such activity would result in the collection of communications of U.S. persons who aren’t the actual targets of surveillance. Collection of all Tor traffic would entail a lot of this “incidental” collection because the communications of NSA targets would be mixed with the communications of a large number of non-target U.S. persons. However, this “incidental” collection is inconsistent with how the term is typically used, which is to refer to over-collection resulting from targeted surveillance programs. If NSA were collecting all Tor traffic, that activity wouldn’t actually be targeted, and so any resulting over-collection wouldn’t actually be incidental. Moreover, greater use of encryption by the general public would result in an ever-growing amount of this type of incidental collection.
  • This type of collection would also be inconsistent with representations of Section 702 upstream collection that have been made to the public and to Congress. Intelligence officials have repeatedly suggested that search terms used as part of this program have a high degree of specificity. They have also argued that the program is an example of targeted rather than bulk collection. ODNI General Counsel Robert Litt, in a March 2014 meeting before the Privacy and Civil Liberties Oversight Board, stated that “there is either a misconception or a mischaracterization commonly repeated that Section 702 is a form of bulk collection. It is not bulk collection. It is targeted collection based on selectors such as telephone numbers or email addresses where there’s reason to believe that the selector is relevant to a foreign intelligence purpose.” The collection of Internet traffic based on patterns associated with types of communications would be bulk collection; more akin to NSA’s collection of phone records en mass than it is to targeted collection focused on specific individuals. Moreover, this type of collection would certainly fall within the definition of bulk collection provided just last week by the National Academy of Sciences: “collection in which a significant portion of the retained data pertains to identifiers that are not targets at the time of collection.”
  • The Section 702 minimization procedures, which will serve as a template for any new retention guidelines established for E.O. 12333 collection, create a large loophole for encrypted communications. With everything from email to Internet browsing to real-time communications moving to encrypted formats, an ever-growing amount of Internet traffic will fall within this loophole.
  •  
    Tucked into a budget authorization act in December without press notice. Section 309 (the Act is linked from the article) appears to be very broad authority for the NSA to intercept any form of telephone or other electronic information in bulk. There are far more exceptions from the five-year retention limitation than the encrypted information exception. When reading this, keep in mind that the U.S. intelligence community plays semantic games to obfuscate what it does. One of its word plays is that communications are not "collected" until an analyst looks at or listens to partiuclar data, even though the data will be searched to find information countless times before it becomes "collected." That searching was the major basis for a decision by the U.S. District Court in Washington, D.C. that bulk collection of telephone communications was unconstitutional: Under the Fourth Amendment, a "search" or "seizure" requiring a judicial warrant occurs no later than when the information is intercepted. That case is on appeal, has been briefed and argued, and a decision could come any time now. Similar cases are pending in two other courts of appeals. Also, an important definition from the new Intelligence Authorization Act: "(a) DEFINITIONS.-In this section: (1) COVERED COMMUNICATION.-The term ''covered communication'' means any nonpublic telephone or electronic communication acquired without the consent of a person who is a party to the communication, including communications in electronic storage."       
Gary Edwards

Introduction to OpenCalais | OpenCalais - 0 views

  •  
    "The free OpenCalais service and open API is the fastest way to tag the people, places, facts and events in your content.  It can help you improve your SEO, increase your reader engagement, create search-engine-friendly 'topic hubs' and streamline content operations - saving you time and money. OpenCalais is free to use in both commercial and non-commercial settings, but can only be used on public content (don't run your confidential or competitive company information through it!). OpenCalais does not keep a copy of your content, but it does keep a copy of the metadata it extracts there from. To repeat, OpenCalais is not a private service, and there is no secure, enterprise version that you can buy to operate behind a firewall. It is your responsibility to police the content that you submit, so make sure you are comfortable with our Terms of Service (TOS) before you jump in. You can process up to 50,000 documents per day (blog posts, news stories, Web pages, etc.) free of charge.  If you need to process more than that - say you are an aggregator or a media monitoring service - then see this page to learn about Calais Professional. We offer a very affordable license. OpenCalais' early adopters include CBS Interactive / CNET, Huffington Post, Slate, Al Jazeera, The New Republic, The White House and more. Already more than 30,000 developers have signed up, and more than 50 publishers and 75 entrepreneurs are using the free service to help build their businesses. You can read about the pioneering work of these publishers, entrepreneurs and developers here. To get started, scroll to the bottom section of this page. To build OpenCalais into an existing site or publishing platform (CMS), you will need to work with your developers.  Why OpenCalais Matters The reason OpenCalais - and so-called "Web 3.0" in general (concepts like the Semantic Web, Linked Data, etc.) - are important is that these technologies make it easy to automatically conne
Gary Edwards

The Future of the Web | Freebase and the Parralax Browser - 0 views

  •  
    Excellent review of the Freebase project that includes a video of the Parralax Browser in action. Incredible stuff! Great video Google is essentially a media company - as Tom Foremski succinctly points out here - logging your actions for Ad Word generation like a supermarket rewards card program while leveraging brute force search of the indexed web as you search for your keywords and phrases. Wikipedia is essentially a single destination site, which means lots of laborious single issue searching. The semantic web is a vision of information that is understandable by computers, so that they can perform more of the tedious work involved in finding, sharing and combining information on the web.
Gary Edwards

The Future of the Desktop - ReadWriteWeb by Nova Spivak - 0 views

  •  
    Excellent commentary from Nova Spivak; about as well thought out a discussion as i've ever seen concerning the future of the desktop. Nova sees the emergence of a WebOS, most likely based on JavaScript. This article set off a fire storm of controversy and discussion, but was quickly lost in the dark days of late August/September of 2008, where news of the subsequent collapse of the world financial system and the fear filled USA elections dominated everything. Too bad. this is great stuff. ..... "Everything is moving to the cloud. As we enter the third decade of the Web we are seeing an increasing shift from native desktop applications towards Web-hosted clones that run in browsers. For example, a range of products such as Microsoft Office Live, Google Docs, Zoho, ThinkFree, DabbleDB, Basecamp, and many others now provide Web-based alternatives to the full range of familiar desktop office productivity apps. The same is true for an increasing range of enterprise applications, led by companies such as Salesforce.com, and this process seems to be accelerating. In addition, hosted remote storage for individuals and enterprises of all sizes is now widely available and inexpensive. As these trends continue, what will happen to the desktop and where will it live?" .... Is the desktop of the future going to just be a web-hosted version of the same old-fashioned desktop metaphors we have today? ..... The desktop of the future is going to be a hosted web service ..... The Browser is Going to Swallow Up the Desktop ...... The focus of the desktop will shift from information to attention ...... Users are going to shift from acting as librarians to acting as daytraders. ...... The Webtop will be more social and will leverage and integrate collective intelligence ....... The desktop of the future is going to have powerful semantic search and social search capabilities built-in ....... Interactive shared spaces will replace folders ....... The Portable Desktop ........ The Sma
Paul Merrell

Common Crawl Founder Gil Elbaz Speaks About New Relationship With Amazon, Semantic Web ... - 0 views

  • The Common Crawl Foundation’s repository of openly and freely accessible web crawl data is about to go live as a Public Data Set on Amazon Web Services.
  • Elbaz’ goal in developing the repository: “You can’t access, let alone download, the Google or the Bing crawl data. So certainly we’re differentiated in being very open and transparent about what we’re crawling and actually making it available to developers,” he says. “You might ask why is it going to be revolutionary to allow many more engineers and researchers and developers and students access to this data, whereas historically you have to work for one of the big search engines…. The question is, the world has the largest-ever corpus of knowledge out there on the web, and is there more that one can do with it than Google and Microsoft and a handful of other search engines are already doing? And the answer is unquestionably yes. ”
  • Common Crawl’s data already is stored on Amazon’s S3 service, but now Amazon will be providing the storage space for free through the Public Data Set program. Not only does that remove from Common Crawl the storage burden and costs for hosting its crawl of 5 billion web pages – some 50 or 60 terabytes large – but it should make it easier for users to access the data, and remove the bandwidth-related costs they might incur for downloads. Users won’t have to deal with setting up accounts, being responsible for bandwidth bills incurred, and more complex authentication processes.
Paul Merrell

Is Apple an Illegal Monopoly? | OneZero - 0 views

  • That’s not a bug. It’s a function of Apple policy. With some exceptions, the company doesn’t let users pay app makers directly for their apps or digital services. They can only pay Apple, which takes a 30% cut of all revenue and then passes 70% to the developer. (For subscription services, which account for the majority of App Store revenues, that 30% cut drops to 15% after the first year.) To tighten its grip, Apple prohibits the affected apps from even telling users how they can pay their creators directly.In 2018, unwilling to continue paying the “Apple tax,” Netflix followed Spotify and Amazon’s Kindle books app in pulling in-app purchases from its iOS app. Users must now sign up elsewhere, such as on the company’s website, in order for the app to become usable. Of course, these brands are big enough to expect that many users will seek them out anyway.
  • Smaller app developers, meanwhile, have little choice but to play by Apple’s rules. That’s true even when they’re competing with Apple’s own apps, which pay no such fees and often enjoy deeper access to users’ devices and information.Now, a handful of developers are speaking out about it — and government regulators are beginning to listen. David Heinemeier Hansson, the co-founder of the project management software company Basecamp, told members of the U.S. House antitrust subcommittee in January that navigating the App Store’s fees, rules, and review processes can feel like a “Kafka-esque nightmare.”One of the world’s most beloved companies, Apple has long enjoyed a reputation for user-friendly products, and it has cultivated an image as a high-minded protector of users’ privacy. The App Store, launched in 2008, stands as one of its most underrated inventions; it has powered the success of the iPhone—perhaps the most profitable product in human history. The concept was that Apple and developers could share in one another’s success with the iPhone user as the ultimate beneficiary.
  • But critics say that gauzy success tale belies the reality of a company that now wields its enormous market power to bully, extort, and sometimes even destroy rivals and business partners alike. The iOS App Store, in their telling, is a case study in anti-competitive corporate behavior. And they’re fighting to change that — by breaking its choke hold on the Apple ecosystem.
  • ...4 more annotations...
  • Whether Apple customers have a real choice in mobile platforms, once they’ve bought into the company’s ecosystem, is another question. In theory, they could trade in their pricey hardware for devices that run Android, which offers equivalents of many iOS features and apps. In reality, Apple has built its empire on customer lock-in: making its own gadgets and services work seamlessly with one another, but not with those of rival companies. Tasks as simple as texting your friends can become a migraine-inducing mess when you switch from iOS to Android. The more Apple products you buy, the more onerous it becomes to abandon ship.
  • The case against Apple goes beyond iOS. At a time when Apple is trying to reinvent itself as a services company to offset plateauing hardware sales — pushing subscriptions to Apple Music, Apple TV+, Apple News+, and Apple Arcade, as well as its own credit card — the antitrust concerns are growing more urgent. Once a theoretical debate, the question of whether its App Store constitutes an illegal monopoly is now being actively litigated on multiple fronts.
  • The company faces an antitrust lawsuit from consumers; a separate antitrust lawsuit from developers; a formal antitrust complaint from Spotify in the European Union; investigations by the Federal Trade Commission and the Department of Justice; and an inquiry by the antitrust subcommittee of the U.S House of Representatives. At stake are not only Apple’s profits, but the future of mobile software.Apple insists that it isn’t a monopoly, and that it strives to make the app store a fair and level playing field even as its own apps compete on that field. But in the face of unprecedented scrutiny, there are signs that the famously stubborn company may be feeling the pressure to prove it.
  • Tile is hardly alone in its grievances. Apple’s penchant for copying key features of third-party apps and integrating them into its operating system is so well-known among developers that it has a name: “Sherlocking.” It’s a reference to the time—in the early 2000s—when Apple kneecapped a popular third-party web-search interface for Mac OS X, called Watson. Apple built virtually all of Watson’s functionality into its own feature, called Sherlock.In a 2006 blog post, Watson’s developer, Karelia Software, recalled how Apple’s then-CEO Steve Jobs responded when they complained about the company’s 2002 power play. “Here’s how I see it,” Jobs said, according to Karelia founder Dan Wood’s loose paraphrase. “You know those handcars, the little machines that people stand on and pump to move along on the train tracks? That’s Karelia. Apple is the steam train that owns the tracks.”From an antitrust standpoint, the metaphor is almost too perfect. It was the monopoly power of railroads in the late 19th century — and their ability to make or break the businesses that used their tracks — that spurred the first U.S. antitrust regulations.There’s another Jobs quote that’s relevant here. Referencing Picasso’s famous saying, “Good artists copy, great artists steal,” Jobs said of Apple in 2006. “We have always been shameless about stealing great ideas.” Company executives later tried to finesse the quote’s semantics, but there’s no denying that much of iOS today is built on ideas that were not originally Apple’s.
1 - 14 of 14
Showing 20 items per page