Cambridge Semantics Hosts Webinar to Demystify the Technologies and Acronyms of the Semantic Web

Cambridge Semantics, the leading provider of Unified Information Access solutions for enterprises, has announced the second of its multi-part free online webinar series focusing on Semantic Web technologies and their uses.

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Boston, Mass. (PRWEB) November 14, 2013

Cambridge Semantics, the leading provider of Unified Information Access solutions for enterprises, has announced the second of its multi-part free online webinar series focusing on Semantic Web technologies and their uses.

The goal of this session is to decipher many of the Semantic Web acronyms, to explain the purpose and benefits of each Semantic Web technology, and to talk about the types of tools available to work with each technology. Lee Feigenbaum, vice president of marketing at Cambridge Semantics and a chair of several World Wide Web Consortium Semantic Web standards working groups, will be presenting and hosting the webinar.

Semantic Web topics that will be covered in this webinar include:

  •     RDF – the flexible graph-based data model of the Semantic Web
  •     SPARQL – a distributed query language for Semantic Web data
  •     OWL – a rich ontology language used to describe data and for reasoning on the Semantic Web
  •     R2RML – for mapping relational databases to RDF

When:
Tuesday, November 19, 2013
2:00 p.m. – 3:00 p.m. ET (11:00 a.m. – Noon PT)

Who: Professionals working in the areas of data management, data integration, information governance, competitive intelligence, financial services IT, and pharmaceutical or life sciences solutions

Where: Register online to reserve your spot today

Media and analysts interested in attending this webinar are encouraged to register online. For additional information, or to arrange a briefing with Cambridge Semantics, please contact Lora Friedrichsen at Cambridge(at)globalresultspr(dot)com or +1 949 608 0276.

About Cambridge Semantics
Cambridge Semantics is privately held and based in Boston, Massachusetts. For more information visit http://www.cambridgesemantics.com or follow us on Twitter @CamSemantics or Facebook.


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