Swoogle: Searching for knowledge on the Semantic Web

Swoogle is an implemented system that discovers, analyzes and indexes knowledge encoded in semantic web documents on the Web. Swoogle reasons about these documents and their constituent parts (e.g., terms and triples) and records meaningful metadata about them. Swoogle provides webscale semantic web data access service, which helps human users and software systems to find relevant documents, terms and triples, via its search and navigation services. Swoogle also provides a customizable algorithm inspired by Google's PageRank algorithm but adapted to the semantics and use patterns found in semantic web documents.
Date: July 19, 2005
Book Title: AAAI 05 (intelligent systems demo)
Type: InProceedings
Google scholar: 383qmLAng3EJ
Google citations: 17 citations
Downloads: 2891

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Bibtex


@InProceedings{Swoogle_Searching_for_knowledge_on_the_S,
  author = "Tim Finin and Li Ding and Rong Pan and Anupam Joshi and Pranam Kolari and Akshay Java and Yun Peng",
  title = "{Swoogle: Searching for knowledge on the Semantic Web}",
  month = "July",
  year = "2005",
  booktitle = "AAAI 05 (intelligent systems demo)",
}