Swoogle: a search and metadata engine for the semantic web

Swoogle is a crawler-based indexing and retrieval system for the Semantic Web documents – i.e., RDF or OWL documents. It analyzes the documents it discovered to compute useful metadata properties and relationships between them. The documents are also indexed by using an information retrieval system which can use either character N-Gram or URIs as terms to find documents matching a user’s query or to compute the similarity among a set of documents. One of the interesting properties computed for each Semantic Web document is its rank – a measure of the document’s importance on the Semantic Web.

• Type: Conference
• Year: 2004
• Where: CIKM
• Authors: Li Ding, Timothy W. Finin, Anupam Joshi, Rong Pan, R. Scott Cost, Yun Peng, Pavan Reddivari, Vishal Doshi, Joel Sachs
• Keywords: CIKM 2004, OWL Documents, Semantic Web Document, Useful Metadata Properties