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2004
Springer

Knowledge Sifter: Agent-Based Ontology-Driven Search over Heterogeneous Databases Using Semantic Web Services

10 years 5 months ago
Knowledge Sifter: Agent-Based Ontology-Driven Search over Heterogeneous Databases Using Semantic Web Services
Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and the emerging Semantic Web. User query specification is supported by a user agent that accesses multiple ontologies using an integrated conceptual model expressed in the Web Ontology Language (OWL). A collection of cooperating agents supports interactive query specification and refinement, query decomposition, query processing, as well as result ranking and presentation. The Knowledge Sifter architecture is general and modular so that ontologies and information sources can be easily incorporated. A proof-of-concept implementation shows how Knowledge Sifter can search geo-spatial ontology services such as the USGS Geographic Names Information System (GNIS) and Princeton University’s WordNet as well as image databases including Lycos and TerraServer. Each Agent is implemented as a Web Service and the external sources ar...
Larry Kerschberg, Mizan Chowdhury, Alberto Damiano
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where ICSNW
Authors Larry Kerschberg, Mizan Chowdhury, Alberto Damiano, Hanjo Jeong, Scott Mitchell, Jingwei Si, Stephen Smith
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