Integrating Lightweight Reasoning into Class-Based Query Refinement for Object Search

Authors:
Gong Cheng;Yuzhong Qu
Affiliations:
Institute of Web Science, School of Computer Science and Engineering, Southeast University, P.R. China 210096;Institute of Web Science, School of Computer Science and Engineering, Southeast University, P.R. China 210096
Venue:
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
Year:
2008

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Abstract

More and more RDF data have been published online to be consumed. Ordinary Web users also expect to experience more intelligent services promised by the Semantic Web, such as object search based on structured data. We implemented the Falcons search engine to meet the challenge. To enable keyword search, for each object, we construct and index a virtual document that includes textual descriptions of its neighboring resources. Typing information is used to serve class-based query refinement, and class-inclusion reasoning is performed to discover implicit types of objects. A method of recommending subclasses is implemented to enable navigating class hierarchies for incremental query refinement. We also report on lessons learned from Web-scale experiments.