OWL 2 is now a Candidate Recommendation

The OWL Working Group at W3C invites implementation of its OWL 2 Web Ontology Language. OWL 2 is a compatible extension to OWL 1, providing additional features for people using ontologies.

The Cambridge Semantic Web July Meetup


The Cambridge Semantic Web Meetup Group


New Semantic Web Case Study by the German National Library of Economics

The Leibnitz Information Centre for Economics of the German National Library of Economics (the world’s largest economics library) has provided a W3C Semantic Web Case Study on the Web based publication of the STW Thesaurus for Economics of the library. The thesaurus is published in RDF (using also RDFa) based on the SKOS vocabulary.

Semantic SOA Governance: Enabling Data Discovery, Reuse, and Interoperability


1. Overview

The Power of Semantic Technology – an Introduction for Enterprise IT Managers

We have witnessed over the years the progression from basic machine languages, to higher-level procedural languages, and then to object-oriented languages. Each advance introduced dramatic improvements in software capabilities that resulted in major leaps forward in fulfilling information technology requirements.

We are again on the verge of another major advance in the evolution of software technology that may bring great value to organizations and other information technology beneficiaries.

The Next Big Thing for the Data Management Community – David Wood

The next big thing for the data management community is to give up central control and planning in order to gain scalability and robustness.

Data Rationalization – The Next Step in Semantic Resolution

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.

Carving a place in the enterprise for Semantic Technology by getting past the semantics of ‘semantic’

Semantic Technologies have much to offer today’s successful business, with regulatory, operational and economic forces combining to require that timely and accurate data from across the enterprise be available on demand and at the point of need. Clear benefits are often disguised, though, by obscure language, serious misconceptions about what ‘the Semantic Web’ could or should be, and an unfortunate tendency to advocate ‘semantic technology’ per se rather than specific solutions to tangible business problems.