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The Road to the Semantic Web http://www.readwriteweb.com/archives/semantic_web_road.php Still, there are some issues with microformats. The first one is the same as with the previous bottom up approach - people have to do the work to annotate the pages. The good news is that since the format is simpler, more can be done via reverse engineering and automation. The second issue is that the current set of microformats does not cover many things that we encounter online. For example, we are not aware of a format that would help represent a book or a movie.

For example, in a New York Times article , written earlier this year, John Markoff discussed a scenario where you would be able to ask a computer to find you a low budget vacation, keeping in mind that you have a 3 year old child. Primitively speaking, because the computer would have a concept of travel, budget and kids, it would be able to find the ideal solution by crawling the semantic web in much the same way Google crawls the regular web today. But while the vision of a semantic web is powerful, it has been a over a decade in making. A lot of work has been done at the World Wide Web Consortium (W3C) specifying the pieces needed to put it together. http://www.readwriteweb.com/archives/semantic_web_difficulties_with_classic_approach.php Semantic Web: Difficulties with the Classic Approach

If all we are trying to do is to help people improve their online experiences, perhaps the full "understanding" of semantics by computers is not even necessary. The best online search tool today is Google, which is an algorithm based, essentially, on statistical frequency analysis and not semantics. Solutions that attempt to improve Google by focusing on generalized semantics have so far not been finding it easy to do so. Top-Down: A New Approach to the Semantic Web http://www.readwriteweb.com/archives/the_top-down_semantic_web.php

http://fr.readwriteweb.com/2009/10/22/analyse/navigation-dans-web-des-donnes-partie-1/ Navigation dans le web des données (partie 1) | ReadWriteWeb Fra Les cas d'indépendance entre données et visualisations ne datent pas d'aujourd'hui. Depuis l'apparition des premières APIs, qui délivrent des données brutes, nous avons vu émerger de nouveaux types de visualisation. Le terme mashup était utilisé à l'époque pour la moindre intégration avec Google Maps . Aujourd'hui même la pizzeria du coin affiche ses coordonnées géographiques via Google Maps.

Cette fois ci le pearltree que je vous propose est un peu spéciale puisqu'il s'agit de la bibliographie complète de l'article (plus de 100 sources). Le pearltree « browsing the web of data » a été crée après la lecture de cette interview de Tim Berners Lee sur ReadWriteWeb il y a bientôt 4 mois. Au début il ne contenait qu'une perle, l'interview en elle même, et puis des articles sont apparus sur la visualisation de données, et les premiers viewers. Au fur et à mesure que mon analyse de la Certains auront remarqué que je joints à mes billets des perles issues du site pearltrees . http://fr.readwriteweb.com/index.html?p=6190 Navigation dans le web des données (partie 2) | ReadWriteWeb Fra

http://www.readwriteweb.com/archives/web_of_data_machine_accessible_information.php It is critical that machines gain a new level of understanding. Instead of statistically computing how well a search term matches a document, a machine must literally be able to understand. Therefore, knowledge bases are needed to look things up. Examples of these knowledge bases include: The Web of Data: Creating Machine-Accessible Information

Linked Data is Blooming: Why You Should Care Linked Data is an official W3C project . An independent community page for Linked Data describes it as "using the Web to connect related data that wasn't previously linked, or using the Web to lower the barriers to linking data currently linked using other methods." Linked Data: An Idea Whose Time Has Come Tim Berners-Lee described Linked Data as a grassroots movement in his TED presentation. The above image shows you how many participating data sets there are now (it'll have increased even more since then, as that was a March 2009 snapshot). http://www.readwriteweb.com/archives/linked_data_is_blooming_why_you_should_care.php

10 Semantic Apps to Watch [Disclosure: AdaptiveBlue founder and CEO Alex Iskold is a regular RWW writer] Hakia SmartLinks works by understanding specific types of information (in this case links) and wrapping them with additional data. SmartLinks takes unstructured information and turns it into structured information by understanding a basic item on the web and adding semantics to it. Hakia is one of the more promising Alt Search Engines around, with a focus on natural language processing methods to try and deliver 'meaningful' search results. http://www.readwriteweb.com/archives/10_semantic_apps_to_watch.php

Interview With Tim Berners-Lee, Part 1: Linked Data RWW: Earlier this year you gave an inspiring talk at TED about Linked Data . You described Linked Data as a sea change akin to the invention of the WWW itself - i.e. we've gone from a Web of documents to a Web of data. Can you please explain though how Linked Data relates to the Semantic Web, is it a subset of it? http://www.readwriteweb.com/archives/interview_with_tim_berners-lee_part_1.php

RWW: You've been talking about the Semantic Web for many years now. Generally the view is that Semantic Web is great in theory, but we're still not seeing a large number of commercial web apps that use RDF (we've seen a number of scientific or academic ones). However we have begun to see some traction with RDFa (embedding RDF metadata into XHTML Web content), for example Google's Rich Snippets and Yahoo's SearchMonkey . Has the takeup of RDFa taken you by surprise? TBL: Not really, but the takeup by the search engines is interesting. In a way I was happy to see that, it was a milestone for those things to come out of the search engines. http://www.readwriteweb.com/archives/readwriteweb_interview_with_tim_berners-lee_part_2.php Interview With Tim Berners-Lee, Part 2: Search Engines, User Int

http://www.readwriteweb.com/archives/readwriteweb_interview_with_tim_berners-lee_part_2p2.php Interview With Tim Berners-Lee, Part 2: Search Engines, User Int RWW: An interesting new product was launched this year called Wolfram|Alpha , described as a 'computational knowledge engine.' It's kind of a mix between Google (search) and Wikipedia (knowledge), and its key attribute is that enables you to compute something. The founders think that 'computing' things on the fly is something we're going to see a lot of in future.

RWW: I'm fascinated by how the Internet is becoming more and more integrated into the real world. For example the Internet of Things , where everyday objects become Internet connected via sensors . Have you been following this trend closely too, and if so what impact do you think this will have on the Web in say 5 years time? TBL: It connects very much with Semantic Web [and] with linked data. http://www.readwriteweb.com/archives/readwriteweb_interview_with_tim_berners-lee_part_2p3.php Interview With Tim Berners-Lee, Part 2: Search Engines, User Int