Proceedings of the Thirteenth ACM Conference on Information and Knowledge Management

Swoogle: A Search and Metadata Engine for the Semantic Web

Li Ding, Tim Finin, Anupam Joshi, Rong Pan, R. Scott Cost, Yun Peng, Pavan Reddivari, Vishal C Doshi, and Joel Sachs

November 9, 2004

Swoogle is a crawler-based indexing and retrieval system for the Semantic Web. It extracts metadata for each discovered document, and computes relations between documents. Discovered documents are also indexed by an information retrieval system which can use either character N-Gram or URIrefs as keywords to find relevant documents and to compute the similarity among a set of documents. One of the interesting properties we compute is \textit {ontology rank}, a measure of the importance of a Semantic Web document.

BibTeX OWL Tweet Scholar

Tags: information retrieval, owl, rdf, semantic web, swoogle

Type: InProceedings

Publisher: ACM Press

Downloads: 30109 downloads

Google Scholar Citations: 467 citations