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 Doshi;Joel Sachs

  • Affiliations:

  • University of Maryland Baltimore County, Baltimore, MD;University of Maryland Baltimore County, Baltimore, MD;University of Maryland Baltimore County, Baltimore, MD;University of Maryland Baltimore County, Baltimore, MD;University of Maryland Baltimore County, Baltimore, MD;University of Maryland Baltimore County, Baltimore, MD;University of Maryland Baltimore County, Baltimore, MD;University of Maryland Baltimore County, Baltimore, MD;University of Maryland Baltimore County, Baltimore, MD

  • Venue:
  • Proceedings of the thirteenth ACM international conference on Information and knowledge management
  • Year:
  • 2004

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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 ontology rank, a measure of the importance of a Semantic Web document.