With the Web 2.0, ontologies are being used to improve search capabilities and make inferences for improved human or computer reasoning. By relating terms in an ontology, the user doesn’t need to know the exact term actually stored in the document. Data Rationalization is a Managed Meta Data Environment (MME) enabled application which creates/extends an ontology for a domain into the structured data world, based on model objects stored in various models (of varying levels of detail, across model files and modeling tools) and other meta data. Ontology is “the study of the categories of things that exist or may exist in some domain”1. An ontology is comprised of “a collection of taxonomies and thesauri”2 about a domain. Data Models, often unknowingly, express many aspects of ontology, even though they are not stored in OWL or RDF.

Read more

Announcing Semantic Tech & Business Conference - San Francisco 2012

Semantic Tech & Business Conference is returning to San Francisco in June! Join us from June 3-7 for complete coverage of Big Data, Linked Data, Extreme Information Management, and Semantic Web. From breakthrough approaches to solving business problems to the big data implications of fast–evolving technologies, SemTechBiz provides you with an unparalleled interactive experience and delivers tangible business value. We're offering a special early rate when you register by February 17. Sign up now!

I should explain first, that In addition to my role at Semantic Universe, I oversee the annual educational conference on enterprise data management (EDM), called Enterprise Data World. About 900 enterprise data people will be converging on Tampa for the next event on April 5-9, 2009.

Read more