Swoogle: Searching for knowledge on the Semantic Web

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http://www.aaai.org/Papers/AAAI/2005/ISD05-007.pdf

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http://hdl.handle.net/11603/12197

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UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection
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Date

2005-07-19

Type of Work

conference papers and proceedings preprints
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Citation of Original Publication

Tim Finin, Li Ding, Rong Pan, Anupam Joshi, Pranam Kolari, Akshay Java, and Yun Peng, Swoogle: Searching for knowledge on the Semantic Web, AAAI 05 (intelligent systems demo), 2005, http://www.aaai.org/Papers/AAAI/2005/ISD05-007.pdf

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Subjects

swoogle
knowledge base
semantic web
UMBC Ebiquity Research Group

Abstract

Swoogle is an implemented system that discovers, analyzes and indexes knowledge encoded in semantic web documents on the Web. Swoogle reasons about these documents and their constituent parts (e.g., terms and triples) and records meaningful metadata about them. Swoogle provides webscale semantic web data access service, which helps human users and software systems to find relevant documents, terms and triples, via its search and navigation services. Swoogle also provides a customizable algorithm inspired by Google's PageRank algorithm but adapted to the semantics and use patterns found in semantic web documents.