The Semantics of Semaphore

Posted on: January 10, 2017, by: Ann Kelly

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In today’s enterprise, unstructured information has become one of the most valuable assets of the organization and its rate of growth is staggering. The need to extract information from internal and external sources and integrate it into existing systems for use in key business decisions is critical to successful business outcomes.

The Semantic Web was supposed to help us solve this problem. By extending the principles of the Web to documents and data, all information would be available, required facts a click away and intelligent agents would locate things. Yet without a mechanism to apply context and meaning to information, the enterprise cannot integrate it into their systems and the Semantic Web fails. Semaphore, Smartlogic’s semantic platform, has been carefully architected to address this problem.

The underlying design principles of Semaphore are a precise combination of W3C standards and semantic best practices built upon Resource Description Framework (RDF), SKOS and SKOS-XL, which allow organizations to unify all enterprise information into a single information source to identify relationships, explore opportunities and answer questions they could not answer before. Semaphore uses high precision NLP and other sophisticated techniques to produce precise, complete and consistent results.