Swoogle Search Service

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The Swoogle Search Service is an Ontology Search Service produced by Li Ding for his PhD Thesis Research.



References

2009a

2009b

  • http://swoogle.umbc.edu/index.php?option=com_swoogle_manual&manual=faq
    • Swoogle is a search engine for the Semantic Web on the Web. Swoogle crawl the World Wide Web for a special class of web documents called Semantic Web documents, which are written in RDF. Currently, it provides the following services to the following services:
      • search Semantic Web ontologies
      • search Semantic Web instance data
      • search Semantic Web terms, i.e., URIs that have been defined as classes and properties
      • provide metadata of Semantic Web documents and support browsing the Semantic Web. (Please refer to Li Ding et. al., Finding and Ranking Knowledge on the Semantic Web, ISWC'04 for details)
      • archive different versions of Semantic Web documents
    • Currently, Swoogle only indexes some metadata about Semantic Web documents. It neither stores nor searches all triples in an Semantic Web documents as a triple store.
    • Q: Who is behind Swoogle?
      • Swoogle is a research project being carried out by the ebiquity research group in the Computer Science and Electrical Engineering Department at the University of Maryland, Baltimore County (UMBC). Partial research support was provided by DARPA contract F30602-00-0591 and by NSF by awards NSF-ITR-IIS-0326460 and NSF-ITR-IDM-0219649.
      • Contributors include Tim Finin, Li Ding, Rong Pan, Anupam Joshi, Pavan Reddivari, Joel Sachs, Pranam Kolari, Akshay Java, Lushan Han, Yun Peng, R. Scott Cost, Sandor Dornbush and Vishal Doshi.

2006

  • Li Ding. (2006), "Enhancing Semantic Web Data Access (PhD thesis)"

2004

  • (Ding et al., 2004) ⇒ Li Ding, Tim Finin, Anupam Joshi, Rong Pan, R. Scott Cost, Yun Peng, Pavan Reddivari, Vishal C Doshi, and Joel Sachs (2004). “Swoogle: A Search and Metadata Engine for the Semantic Web". Proceedings of the Thirteenth ACM Conference on Information and Knowledge Management (CIKM). ACM. pp. 652–659. [doi>10.1145/1031171.1031289]. http://ebiquity.umbc.edu/paper/html/id/183/.