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PUBLIC MARKS from parmentierf with tag sémantique


Open Graph protocol - Développeurs de Facebook

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The Open Graph protocol enables you to integrate your web pages into the social graph. It is currently designed for web pages representing profiles of real-world things — things like movies, sports teams, celebrities, and restaurants. Once your pages become objects in the graph, users can establish connections to your pages as they do with Facebook Pages. Based on the structured data you provide via the Open Graph protocol, your pages show up richly across Facebook: in user profiles, within search results and in News Feed.


PmWiki WikiPublisher - DSMW : Distributed Semantic Media Wiki

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DSMW is an extension of Semantic Mediawiki (SMW). It allows to create a network of SMW servers that share common semantic wiki pages.

Technologies du Web Sémantique pour l'Entrepise 2.0

Thèse de doctorat (informatique) d'Alexandre Passant - 9 juin 2009

Eyal Oren - Personal Web page

SemperWiki is an open-source semantic personal Wiki for Gnome. It offers the usability of personal Wikis and the improved retrieval and querying of semantic Wikis


Calais Pipes | OpenCalais

The OpenCalais Web service can analyze text and provide rich semantic data for submitted text. With Yahoo! Pipes users can easily create custom RSS feeds. The Calais Pipes Service allows Yahoo! Pipes users to enrich their custom RSS feeds with semantic metadata.

Primal Fusion

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Get your thoughts together Looking for some inspiration? Tell us what you're thinking about, then explore a host of connected ideas from the growing Primal Fusion thought network. When you see ideas that you like, save them into your own personal thought networks. Organize and tag your thoughts to express their meanings more precisely. Then use your thought networks to take action and get stuff done — online, offline, and with other people.


Our game is original, being the main objective to ease the semantic validation of any semantic relation previously extracted in any language. Using the results gathered from approved relations we made possible the automatic creation of an ontology.

Everybody | Faviki - Social bookmarking tool using smart semantic Wikipedia (DBpedia) tags

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Faviki is a social bookmarking tool which allows you to tag webpages you want to remember with Wikipedia terms. This means that everybody uses the same names for tags from the world's largest collection of knowledge.

Benoît Sagot - WOLF

Le WOLF (Wordnet Libre du Français) est une ressource lexicale sémantique (wordnet) libre pour le français.

Proxem > Home

Proxem isn't just a technology. It's a company and a vision informed by creativity and passion for all things possible with Natural Language Processing.

Information Economy Meta Language - Wikipédia

IEML permet de représenter des concepts comme des ensembles de points dans un espace sémantique coordonné. Le métalangage a vocation à être utilisé par un protocole internet pour que naisse un espace sémantique commun sur le Web qui soit plus évolué et plus puissant que le Web sémantique actuellement préconisé par le WWW consortium, mais compatible avec celui-ci.

Planning a Semantic Web site

The Semantic Web brings with it the opportunities for users to get smarter search results, and for site owners to get more targeted traffic as users find what they really want. But these benefits don't just magically appear. This article leads you through the aspects of both information architecture and general infrastructure you need in place to truly take advantage of this burgeoning opportunity.

Cypher - Beta Release — - ai - ai software - semantic web - semantic web software - ai company - natural language processing - natural language processing software - RDF, FOAF, Friend of a Friend, DC, Dublin Core, RSS, SeRQL and SPARQL softwa

The Cypher™ beta release is the AI software program available which generates the .rdf (RDF graph) and .serql (SeRQL query) representation of a plain language input, allowing users to speak plain language to update and query databases. With robust definition languages, Cypher's grammar and lexicon can quickly and easily be extended to process highly complex sentences and phrases of any natural language, and can cover any vocabulary. Equipped with Cypher, programmers can now begin building next generation semantic web applications that harness what is already the most widely used tool known to man - natural language.

Zemanta Brings a Semantic Layer to Your Blog - ReadWriteWeb

A new startup called Zemanta launched in alpha mode today. The service integrates with blogging platforms like Wordpress, Blogger, and Typepad to suggest pictures, links, articles, and tags related to your blog postings. Using proprietary natural language processing and semantic algorithms, Zemanta compares the words in a blog post to their pre-indexed database of other content in order to suggest related items which will display next to your blog post. : Overview

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Triplify provides a building block for the “semantification” of Web applications. Triplify is a small plugin for Web applications, which reveals the semantic structures encoded in relational databases by making database content available as RDF, JSON or Linked Data.

Bibliographic Ontology Specification

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The Bibliographic Ontology Specification provides main concepts and properties for describing citations and bibliographic references (i.e. quotes, books, articles, etc) on the Semantic Web.

And Nerds Became Kings: Yahoo! to Announce Semantic Web Support - ReadWriteWeb

TechCrunch and Search Engine Land are reporting this morning that Yahoo! will now be indexing Semantic Web and Microformats markup from around the web and will use that information to display more structured search results.

Artesi IDF

SCRIBO, projet de logiciel libre pour le traitement sémantique de l’information multimédia

index [MOAT]

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MOAT (Meaning Of A Tag) provides a Semantic Web framework to publish semantically-annotated content from free-tagging. While tags are widely used in Web 2.0 services, their lack of machine-understandable meaning can be a problem for information retrieval, especially when people use tags that can have different meanings depending on the context. MOAT aims to solve this by providing a way for users to define meaning(s) of their tag(s) using URIs of Semantic Web resources (such as URIs from dbpedia, geonames … or any knowledge base), and then annotate content with those URIs rather than free-text tags, leveraging content into Semantic Web, by linking data together. Moreover, tag meanings can be shared between people, providing an architecture of participation to define and exchange potential meanings of tags within a community of users. To achieve this goal, MOAT relies on an architecture that can be deployed for any organisation or community and that involves a lightweight ontology, a MOAT server, and some third-party clients .


Top-Down: A New Approach to the Semantic Web

One of the technical difficulties that we outlined was the bottom-up nature of the classic semantic web approach. Specifically, each web site needs to annotate information in RDF, OWL, etc. in order for computers to be able to "understand" it.

10 Semantic Apps to Watch

The purpose of this post is to highlight 10 Semantic Apps. We're not touting this as a 'Top 10', because there is no way to rank these apps at this point - many are still non-public apps, e.g. in private beta. It reflects the nascent status of this sector, even though people like Hillis and Spivack have been working on their apps for years now.

KartooVisu -- fr

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La technologie utilisée dans Kvisu est baptisée par les concepteurs de l'outil de "cartographie surfacique" : "les mots-clés sont représentés sous forme de surfaces dont la superficie représente la fréquence d'apparition dans les résultats".

Introduction to Semantic Web Vision and Technologies - Part 4 - Protege 101 (Screencast) - Blog - Semantic Focus

Today, we present a screencast exhibiting Protégé — a free, open source ontology editor and knowledge-base framework developed by Stanford Center for Biomedical Informatics Research at the Stanford University School of Medicine. In this screencast, we show you how to develop a useful Semantic Web-ready application in just minutes. You will learn how to model a very simple ontology in OWL (the Web Ontology Language).