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A recent interview takes a look at what Facebook’s recent platform changes mean for businesses. It begins, “Recently at f8, Facebook’s developer conference, the company introduced a series of action verbs into its social platform. ‘Read,’ ‘Watch,’ and ‘Listen,’ Facebook CEO Mark Zuckerberg explained, were added to help build a ‘language for how people connect.’ The one missing word, of course, was ‘Buy.’ That’s really why Facebook and its army of content partners from news, publishing, music, and film and TV are rushing to set up shop on the famous platform with 750 million users.”

The interviewer “sat down with Gi Fernando, an expert on social-networking data, to help explain what Facebook’s platform changes mean for brands, consumers, and marketers.

When asked about the single biggest change that Facebook is making, Fernando replied, “The biggest change is Facebook driving toward becoming the semantic web. The semantic web is making sure that the Internet has a dictionary and a grammar that can be understood by consumers, yes, but also by advertisers and brands. It’s also understanding how people behave on the Web rather than just clicking on stuff: what are they actually doing? You read, watch things, you get instant feedback, your friends can read and watch with you, but then the brand knows what you and 13 others are reading, watching, listening to as well, and you can target advertising based around that. It’s a beautiful feedback loop both for the consumer and the brand.”

What Ellerdale is now doing with Twitter’s 50 million tweets per day is definitely interesting - the service uses an intelligent data-parsing engine to analyze the context of tweets and the links they contain and combines that with other data sources like RSS feeds and Wikipedia to create a real-time search engine and trends tracker that provides more than just a list of tweets - it provides an understanding of the world’s conversations.The best part about all these new partnerships is that we’re about to see an entirely new way to search the web emerge. For quick real-time results, there will always be the major search engines and their more basic lists of tweets, but for true data analysis, we now have incredible new options like Ellendale and all the others.Within each category are conversation topics and sub-topics.any topical page on Ellendale returns an incredible amount of data. There are summaries provided from sources like Wikipedia, Freebase (an online semantic database),

Sparks are a very simple taxonomy right now, but do have persistent URIs, which you can find by hovering over a Spark and looking in the left of the status bar at the bottom of your screen.

This warrants more dissecting and attention. Will they eventually use all or some of the hierarchy of Google Directory? Will they become hierarchical? Will the algorithm improve as we click on links that interest us? Can we add our own information? Are we creating new entities for Google as we search for and add Sparks to our items of interest – it seems that way. It’s not an ontology yet, but it’s a start. Lots of people creating persistent URIs for entities they’ve dreamed up – I hear that evil cackle again!

Google, by nature of its founding, is in a prime position to address the challenges that many enterprise technologists have when thinking about semantic data – how do we handle unstructured data? We have metadata: in schema, in taxonomies, in ontologies even. We have loads of content. With no metadata. How do we get them together? We can’t afford to hire a small army of indexers to apply the metadata to the content. The system metadata is insufficient and poor. We have a pretty good search tool, and have put some effort into data dictionaries, entity extraction and rules-based classification. We have tools that do latent semantic indexing and latent semantic analysis.  Make sense of unstructured information? Sure, Google can do that. Hopefully they will not reduce efforts in these areas too much to focus on other projects. Many of us can execute a search and return nothing useful; crowdsourcing tagging in G+ may re-vitalize  components of the search algorithm.

Opportunities emerge from the deep semantic web

Economics is the science of incentives. While the promise of searching a huge store of databases may not sound like Saturday social night at the local drive in burger joint, it does by extension, introduce new incentives.  The new technology will drive people to build databases.  A new generation of entrepreneurs will collect, organize, analyze and create – not information – but data.Database of databases of databasesThe first things entrepreneurs will organize are human knowledge data – starting with their own, then relating it to others. Not unlike the human genome project, the vast human knowledge reservoir will be mapped. Entrepreneurs will enter their communities (on line, neighborhood, work, school, church, social networks) and create a database for what other people know and parse the data in any number of important and useful databases.The reason for this is simple; data are collections of human observations.This is the only thing people are willing to pay forRead more at www.conversationalcurrency.com

Putting sensors and actuators in everything from homes and cars to shoes and coffee cups promises to make our daily lives easier, safer and more efficient. But such 'ambient intelligence' requires a merger of the virtual and digital worlds. EU-funded researchers in the Sensei project are bridging the gap and their results are already leading to 'smart cities' being set up all over Europe.

'Today, the internet world is a virtual world of data mostly stored and accessed from servers,' says Dr Hérault. In the future, we will have an 'Internet of things' in which a multitude of things in the real, physical world will be digitised continuously: in many situations, we won't just be asking web servers for data, we will be asking sensors in everyday objects for data, he suggests. 'We need to understand how best to interconnect the real world and the virtual world.' 

An open service interface that uses semantic information to process data means that information is accessible and understandable to both humans and machines.  'You could ask, for example, "What is the temperature on Oxford Street?" The system would decode that semantic information, access sensor networks on Oxford Street that have temperature sensors, check the reliability of each network with regard to information quality, and return an answer,' Dr Hérault explains. 

LocalResponse, a new startup in the social media mobile ad space, is using semantic analysis to capitalize on real-time social data: “LocalResponse was born out of the ashes of Buzzd, a city guide that mashed up Foursquare and Twitter to help users find local hotspots. Founder Nihal Mehta learned a valuable lesson in defeat, and this week raised a $5 million round… Buzzd was a consumer facing platform, but failed to attract enough users. LocalResponse, by contrast, take the massive amount of public data being shared on Facebook, Twitter and Foursquare, and turns that into ad inventory.”

A freely accessible index of 5 billion web pages, their page rank, their link graphs and other metadata, hosted on Amazon EC2, was announced today by the Common Crawl Foundation. "It is crucial [in] our information-based society that Web crawl data be open and accessible to anyone who desires to utilize it," writes Foundation director Lisa Green on the organization's blog.

The Foundation explains the scope of the project thusly. "Common Crawl is a Web Scale crawl, and as such, each version of our crawl contains billions of documents from the various sites that we are successfully able to crawl. This dataset can be tens of terabytes in size, making transfer of the crawl to interested third parties costly and impractical. In addition to this, performing data processing operations on a dataset this large requires parallel processing techniques, and a potentially large computer cluster. "Luckily for us, Amazon's EC2/S3 cloud computing infrastructure provides us with both a theoretically unlimited storage capacity coupled with localized access to an elastic compute cloud."

The Foundation is an organization dedicated to leveraging the falling costs of crawling and storage for the benefit of "individuals, academic groups, small start-ups, big companies, governments and nonprofits." It's lead by Gilad Elbaz, the forefather of Google AdSense and the CEO of data platform startup Factual. Joining Elbaz on the Foundation board is internet public domain champion Carl Malamud and semantic web serial entrepreneur Nova Spivack. Director Lisa Green came to the Foundation by way of Creative Commons.

i have a few complaints about the use of “augmented reality.” the first is primarily semantic. it seems (to me at least) like the term it implies some kind of (pre-digital?) “non-augmented” reality. this is more or less explicit when we refer to things like “augmented revolution” or “augmented conference.” it seems like the idea of augmented reality was introduced to make a point against a false binary (“digital dualism”) and i agree that this is important, both academically and in real life (see what i did there?). but i think the way we talk about augmented reality is sneaking a version of that binary back in. not the naive real v virtual but maybe something like real v “real+” and i think that is a mistake. and it is a strange mistake to read here, on a blog called “cyborgology” that proclaims (rightly i’m sure) that we have always been cyborgs. our friends from sst especially, i think, are sensitive to how reality has always been “augmented” if we are paying attention. so quoting sst hero latour:

If we wanted to project on a standard geographical map the connections established between a lecture hall and all the places that are acting in it at the same time, we would have to draw bushy arrows in order to include, for instance, the forest out of which the desk is coming, the management office in charge of classroom planning, the workshop that printed the schedule that has helped us find the room, the janitor that tends the place, and so on. And this would not be some idle exercise, since each of these faraway sites has, in some indispensable way, anticipated and preformatted this hall by transporting, through many different sorts of media, the mass of templates that have made it a suitable local—and that are still propping it up.* and he goes on for literally pages. he starts on p 200 (where the quote is from) and ends somewhere on p 203. then he picks it up again on p 206 with more. by 207 he is talking about the “plug-ins”, “patches” and “applets” that actors in a lecture need to make sense of what is happening. and cyborgs:

As we have witnessed so many times throughout this book, information technologies allow us to trace the associations in a way that was impossible before. Not because they subvert the old concrete ‘humane’ society, turning us into formal cyborgs or ‘post human’ ghosts, but for exactly the opposite reason: they make visible what was before only present virtually. In earlier times, competence was a rather mysterious affair that remained hard to trace; for this reason, you had to order it, so to speak, in bulk. As soon as competence can be counted in bauds and bytes along modems and routers, as soon as it can be peeled back layer after layer, it opens itself to fieldwork.

Source: http://enipedia.tudelft.nl Enipedia is an active exploration into the applications of wikis and the semantic web for energy and industry issues. Through this we seek to create a collaborative environment for discussion, while also providing the tools that allow for data from different sources to be connected, queried, and visualized from different perspectives

The traditional internet is oriented towards person-to-person connection, whereas the Internet of Things is oriented towards connection of inanimate objects. As such, the Internet of Things covers a larger range of connections and involves more semantics. Internet and telecom networks are focused on information transfer, while the Internet of Things is focused on information services. By combining sensor networks, the Internet, telecom networks, and cloud computing platforms, the Internet of Things can sense, recognize, affect, and control the physical world. The physical world can be unified with the virtual world and human perception. This opens a whole new media market yet to be explored to see which is the killer applications.

“There’s been an ‘intranet of things’ in manufacturing for years now,” says Tony Paine, president of Kepware (www.kepware.com), a technology company in Yarmouth, Maine that develops communication and interoperability software for the automation industry. Explaining his statement, Paine points to the growing use of preventative and condition-based monitoring that are widely accepted, if not always implemented, by most manufacturers.

“This is not just about connecting smart devices, this is about modeling all the things in your manufacturing world so that it’s easy to remix them in new ways to build new applications,” says Russ Fadel, chief executive officer of Thingworx (www.thingworx.com), a two-year-old company located in Exton, Pa. The company combines the key functionality of real-time data, mashups, search, social media and the semantic web, and applies it to any process that involves people, systems, devices and other real world “things.”

“That kind of automated, connected response could save you, say, 3 percent on your utility bill,” Fadel says. “The ability to remix people and systems to interact with radical equality—this will be the source of some unexpected innovation. For manufacturers, the Internet of Things is not just about connecting your car to your alarm clock, it’s about creating a competitive advantage.”