Web Services and Semantic Web
Finding and Ranking Knowledge on the Semantic Web
Abstract
Swoogle helps software agents and knowledge engineers find Semantic Web knowledge encoded in RDF and OWL documents on the Web. Navigating such a Semantic Web on the Web is difficult due to the paucity of explicit hyperlinks beyond the namespaces in URIrefs and the few inter-document links like rdfs:seeAlso and owl:imports. This talk presents a novel Semantic Web navigation model providing additional navigation paths through Swoogle's search services such as the Ontology Dictionary. Algorithms have been developed for ranking the importance of Semantic Web objects at three levels of granularity: documents, terms and RDF graphs. Experiments show that Swoogle outperforms conventional web search engine and other ontology libraries in finding more ontologies, ranking their importance, and thus promoting the use and emergence of consensus ontologies.
- date: 11.12.2007, 10:15
- held by: Patrice Matthias Brend'amour
- slides: pdf
- handout: pdf
References
- Li Ding, Tim Finin, Anupam Joshi, Rong Pan, R. Scott Cost, Yun Peng, Pavan Reddivari, Vishal Doshi, Joel Sachs:
“Swoogle: a search and metadata engine for the semantic web”,
in
Proceedings of the 13th ACM international conference on Information and knowledge management.
2004.
electronic version: pdf - Li Ding, Rong Pan, Tim Finin, Anupam Joshi, Yun Peng, Pranam Kolari:
“Finding and Ranking Knowledge on the Semantic Web”,
in
ISWC 2005: Proceedings of the 4th International Semantic Web Conference.
2005.
electronic version: pdf