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
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.
Date: November 09, 2004
Book Title: Proceedings of the Thirteenth ACM Conference on Information and Knowledge Management
Type: InProceedings
Publisher: ACM Press
Google scholar: HAYF5RatYbcJ
Google citations: 190 citations
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Bibtex


@InProceedings{Swoogle_A_Search_and_Metadata_Engine_for,
  author = "Li Ding and Tim Finin and Anupam Joshi and Rong Pan and R. Scott Cost and Yun Peng and Pavan Reddivari and Vishal C Doshi and Joel Sachs",
  title = "{Swoogle: A Search and Metadata Engine for the Semantic Web}",
  month = "November",
  year = "2004",
  booktitle = "Proceedings of the Thirteenth ACM Conference on Information and Knowledge Management ",
  publisher = "ACM Press",
}