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Applying Semantic Web Technologies toward a Net-Centric Data Strategy
One of the latest solutions for collecting information from disparate data sources involves federated semantic queries. They offer many advantages over traditional solutions, ranging from non-disruptive, virtual data aggregation to domain-specific query capabilities. This presentation describes a semantic query architecture which decomposes SPARQL queries based on OWL domain and data source ontologies, SWRL ontology translation rules, OWL-S service descriptions and database mappings, to support federated semantic queries across multiple relational databases and/or web services. The implementation of such an architecture in a net-centric data sharing environment, as specified in the DoD’s 8320.02-G directive, will also be discussed. |
| Speaker Bio |
| Matt Fisher is a senior software engineer for BBN Technologies and has over 13 years of experience in software systems and development. He is currently leading an effort to incorporate semantic search technology into various agencies of the U.S. government. He is actively involved with the DoD Metadata Working Group. In addition to the Semantic Web, Matt’s research interests include distributed data sharing, human-computer interface (HCI) modeling and software engineering best practices. Matt graduated with a B.S. in Computer Science and a minor in Mathematics from the Pennsylvania State University. He earned his M.S. and Software Systems Certification from George Mason University. |