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Most Influential CIKM 2004 Paper · 2026-03 edition

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 Doshi, Joel Sachs

Venue
ACM Conference on Information and Knowledge Management (CIKM) 2004
Recognition
Most Influential CIKM 2004 Paper (Rank No. 1)
Edition
2026-03
Impact factor
9
Certificate ID
f4a4a143fd8ee241

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 <i>ontology rank</i>, a measure of the importance of a Semantic Web document.

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