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The NeuroCommons project seeks to make all scientific research materials - research articles, annotations, data, physical materials - as available and as useable as they can be. This is done by fostering practices that render information in a form that promotes uniform access by computational agents - sometimes called "interoperability". Semantic Web practices based on RDF will enable knowledge sources to combine meaningfully, semantically precise queries that span multiple information sources.

Working with the Creative Commons group that sponsors "Neurocommons", Microsoft has developed and released an open source "ontology" add-on for Microsoft Word. The add-on makes use of MSOffice XML panel, Open XML formats, and proprietary "Smart Tags". Microsoft is also making the source code for both the Ontology Add-in for Office Word 2007 and the Creative Commons Add-in for Office Word 2007 tool available under the Open Source Initiative (OSI)-approved Microsoft Public License (Ms-PL) at http://ucsdbiolit.codeplex.com and http://ccaddin2007.codeplex.com,respectively.

No doubt it will take some digging to figure out what is going on here. Microsoft WPF technologies include Smart Tags and LINQ. The Creative Commons "Neurocommons" ontology work is based on W3C RDF and SPARQL. How these opposing technologies interoperate with legacy MSOffice 2003 and 2007 desktops is an interesting question. One that may hold the answer to the larger problem of re-purposing MSOffice for the Open Web?

We know Microsoft is re-purposing MSOffice for the MS Web. Perhaps this work with Creative Commons will help to open up the Microsoft desktop productivity environment to the Open Web? One can always hope :)

Dr Dobbs has the Microsoft - Creative Commons announcement; Microsoft Releases Open Tools for Scientific Research ...... Joins Creative Commons in releasing the Ontology Add-in

Although there are many ways to slice this discussion, it might be useful to compare Adobe RIA and Microsoft Silverlight RIA in terms of web ready, highly interactive documents. The Adobe RIA story is quite different from that of Silverlight. Both however exploit the shortcomings of browsers; shortcomings that are in large part, i think, due to the disconnect the browser community has had with the W3C. The W3C forked off the HTML-CSS path, putting the bulk of their attention into XML, RDF and the Semantic Web. The web developer community stayed the course, pushing the HTML-CSS envelope with JavaScript and some rather stunning CSS magic. Adobe seems to have picked up the HTML-CSS-Javascript trail with a Microsoft innovation to take advantage of browser cache, DHTML (Dynamic HTML). DHTML morphs into AJAX, (which so wild as to have difficulty scaling). And AJAX gets tamed by an Adobe-Apple sponsored WebKit. Most people see WebKit as a browser specific layout engine, and compare it to the IE and Gecko on those terms. I would argue however that WebKit is both a document model and, a document format. For sure it's a framework for very advanced HTML-CSS-DOM-Javascript work. Because the Adobe AIR run-time is based on WebKit layout, WebKit documents can hit on all cylinders across any browser able to implement the AIR plug-in. Meaning, web developers and web content providers need only target the WebKit document model to attain the interactive access ubiquity all seek. Very cool. Let me also add that the WebKit HTML-CSS-DOM-Javascript model is capable of "fixed/flow" representation. I'll explain the importance of "fixed/flow" un momento, but think about how iPhone renders a web page and you'll understand the "flow" side of this equation.

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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

See also Wikipedia on Linked Data: http://en.wikipedia.org/wiki/Linked_Data

Darryl Taft writes a follow up article covering the comments to his original AJAX-ARAX ruby on rails MS-iron python story

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First of all, I modified the approach by replacing # with ¶ per the suggestion of another Simon. Whereas # suggests Web anchors, it only suggests that to Web hacks, while ¶ has a long typographical history as a paragraph marker. Plus, it's kind of pretty and it's officially called a Pilcrow, which you gotta love. Now that the anchor is so evanescent, I wonder if it might work in a shade slightly less ethereally pale. ¶

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.

One key refrain that expresses this trend is heard in companies around the world: "Why can't we have a Google inside the four walls of our company?" While at first this seems like a good idea, the problem of using search inside a company is much more complicated than just indexing documents, throwing up a search box and asking people if they feel lucky. This week, JargonSpy explores just what "enterprise search" means and why it is a complicated challenge that is becoming increasingly urgent for most companies to solve.