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"RDFa (or Resource Description Framework - in - attributes) is a W3C Recommendation that adds a set of attribute-level extensions to HTML, XHTML and various XML-based document types for embedding rich metadata within Web documents. What does that mean? It means that RDFa give your content more meaning… it allows content to make sense to the search engines. Right now, when a bot crawls your site, it only picks up content and spits it back out - it has no idea what that content really means. With RDFa, the bots can now identify specific information through implementation of RDFa code and appropriate snippets. "

We are happy to announce the beta release of RDFaCE (RDFa Content Editor). RDFaCE is an online text editor based on TinyMCE. It supports authoring of RDFa content.

In Barbara Starr's (Ontologica) session this week at Semtech 2011, San Francisco, she presented a detailed timeline outlining the adoption of RDFa and semantic search enhancements by the major search engines.

Ontologies are to the Open Semantic Framework what humans were to the Mechanical Turk. The hidden human in the Mechanical Turk was orchestrating all and every chess move. However, to the observers, the automated chess machine was looking just like it: a new kind of intelligent machine. We were in 1770.

For some time now, Structured Dynamics (SD) has been touting the unique advantages of ODapps, or ontology-driven applications [1]. ODapps are modular, generic software applications designed to operate in accordance with the specifications contained in one or more ontologies. The relationships and structure of the information driving these applications are based on the standard functions and roles of ontologies (namely as domain ontologies), as supplemented by UI and instruction sets and validations and rules. When these supplements are added to standard ontology functions, we collectively term them adaptive ontologies [2].

Semantics can enhance a broad variety of information processing - search, integration, analysis, pattern extraction and mining, discovery, situational awareness, and question-answering. Consider search: a search system that could distinguish between "Merry Christmas" as a greeting and one of the 60 or so songs named "Merry Christmas" as cataloged in MusicBrainz (a community-created music encyclopedia; http://musicbrainz.org) would have a powerful semantic search capability.

Anyone who has seen a slide presentation on Semantic Web, Linked Data, or related technologies, has most likely seen the Linking Open Data (LOD) Cloud diagram. Since its debut in 2007, the diagram has grown to its current size which includes 295 datasets in the form of a connected cloud. The data sets in the LOD cloud consist of over 31 billion RDF triples and are interlinked by around 504 million RDF links.

According to the W3C, "The Media Annotations Working Group invites implementation of the Candidate Recommendation Ontology for Media Resources 1.0.

Hi, I'm just starting to research semantic web, web 3.0 and RDF…  that post was building a repository of data that pointed to some good content on Semantic Web Learning. 

What got Talis going on its Linked Data marketplace that launched in public beta in June, dubbed Kasabi? The recognition that there had to be a business model in making RDF data as easy to use as possible - from publishing it to querying it, all in a well-supported and sustainable fashion for providers and consumers alike.

On Friday, October 14, a group of Semantic thought leaders from around the globe met with their host and colleague, Paul Miller, for the latest installment of the Semantic Link, a monthly podcast covering the world of Semantic Technologies. This episode includes a discussion about schema.org. The Semantic Link panel was joined by special guest, Ramanathan V. Guha, Google Fellow, and one of the principal people behind schema.org.