Swoogle: A Search and Metadata Engine for the Semantic Web

Author/Creator ORCID





Citation of Original Publication

Li Ding, Tim Finin, Anupam Joshi, Rong Pan, R. Scott Cost, Yun Peng, Pavan Reddivari, Vishal C Doshi, and Joel Sachs, Swoogle: A Search and Metadata Engine for the Semantic Web, Proceedings of the Thirteenth ACM Conference on Information and Knowledge Management , 2004, DOI :10.1145/1031171.1031289


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Swoogle is a crawler-based indexing and retrieval system for the Semantic Web, i.e., for Web documents in RDF or OWL. It extracts metadata for each discovered docu- ment, and computes relations between documents. Discov- ered 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 rank, a measure of the importance of a Semantic Web document.