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Charles River Analytics Inc. to Present Research on Semantic Technology at SemTech 2010

Charles River Analytics, a developer of cutting-edge technologies for intelligent systems, has been invited to present its research at the 2010 Semantic Technology Conference (SemTech) that will take place from June 21-25, 2010, in San Francisco, California. SemTech 2010 is the world’s largest educational conference on semantic technologies and is attended by executives, technologists, researchers, investors, and customers each year.

Dr. Terry Patten, Principal Scientist at Charles River, will give a presentation on “Semantic Search Using Inferred Classes,” which he co-authored with Mr. Stephen Hookway, Software Engineer at Charles River. The presentation is summarized below:

Semantic Search Using Inferred Classes

Air Force analysts help prepare for air operations by searching imagery metadata for potential threats to the mission such as enemy aircraft or surface-to-air missile launchers. Semantic technology can improve these searches in several ways: Ontologies allow searching for entire classes of threats (such as surface-to-air missile launchers) without having to list the specific weapons in that class and all their synonyms. Another useful technique is to infer whether entities are instances of threat classes based on their properties rather than having to maintain explicit knowledge of which specific weapons are members of threat classes. For instance, if anti-aircraft ammunition becomes available for a weapon that was previously not a threat, that weapon automatically becomes a member of the threat class and will match a threat query. We demonstrate how a sound and complete OWL-DL reasoner can perform this inference in a scalable manner.

Dr. Terry Patten is a Principal Scientist at Charles River Analytics. His research interests include semantic technology, text mining, and natural language processing. He received his Ph.D. in Artificial Intelligence from the University of Edinburgh in Scotland.

Mr. Stephen Hookway is a Software Engineer at Charles River Analytics. His research interests include semantic technology, knowledge management and artificial intelligence. He received his B.Sc. and M.Sc. in Computer Science from Lehigh University.

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