Knowledge Sifter: Ontology-Driven Search over Heterogeneous Databases

Authors:
L. Kerschberg;M. Chowdhury;A. Damiano;H. Jeong;S. Mitchell;J. Si;S. Smith
Affiliations:
George Mason University, Fairfax, Virginia;George Mason University, Fairfax, Virginia;George Mason University, Fairfax, Virginia;George Mason University, Fairfax, Virginia;George Mason University, Fairfax, Virginia;George Mason University, Fairfax, Virginia;George Mason University, Fairfax, Virginia
Venue:
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
Year:
2004

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Abstract

Knowledge Sifter is a scaleable agent-based system thatsupports access to heterogeneous information sources suchas the Web, open-source repositories, XML-databases andthe emerging Semantic Web. User query specification issupported by a user agent that accesses multiple ontologiesusing an integrated conceptual model. A collection ofcooperating agents supports interactive query specification,refinement, decomposition, and processing, as well asresult ranking and presentation. The Knowledge Sifterarchitecture is general and modular so that ontologies andinformation sources can be easily incorporated. A proof-of-concept implementation depicts Knowledge Sifter using a domain ontology together with geo-spatial and semanticname services to enhance query formulation and to searchimage databases such as Lycos and TerraServer.