Swoogle: A Search and Metadata Engine for the Semantic Web

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

Book Title: Proceedings of the Thirteenth ACM Conference on Information and Knowledge Management

Date: November 09, 2004

Abstract: 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.

Type: InProceedings

Publisher: ACM Press

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

Google Scholar: HAYF5RatYbcJ

Number of Google Scholar citations: 467 [show citations]

Number of downloads: 21212

Available for download as

size: 363936 bytes

size: 363802 bytes

Related Projects:

Past Projects

 FOAF.
 Semantic Discovery: Discovering Complex Relationships in Semantic Web.
 Swoogle.

Bookmark at: Digg | Del.icio.us | Connotea | CiteULike