ARAN - Access to Research at NUI Galway

Building a Semantic Web Search Engine: Challenges and Solutions

ARAN - Access to Research at NUI Galway

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dc.contributor.author Harth, Andreas en
dc.contributor.author Hogan, Aidan en
dc.contributor.author Umbrich, Jürgen en
dc.contributor.author Decker, Stefan en
dc.date.accessioned 2009-11-27T15:14:48Z en
dc.date.available 2009-11-27T15:14:48Z en
dc.date.issued 2008 en
dc.identifier.citation Andreas Harth, Aidan Hogan, Jürgen Umbrich, Stefan Decker "Building a Semantic Web Search Engine: Challenges and Solutions", Proceedings of the 3rd XTech Conference, 2008, 2008. en
dc.identifier.uri http://hdl.handle.net/10379/440 en
dc.description.abstract Current web search engines return links to documents for user-specified keywords queries. Users have to then manually trawl through lists of links and glean the required information from documents. In contrast, semantic search engines allow more expressive queries over information integrated from multiple sources, and return specific information about entities, for example people, locations, news items. An entity-centric data model furthermore permits powerful query and browsing techniques. In this paper, we report on our experiences in collecting and integrating Web data from millions of sources, and describe both application-developer query services and end-user navigation services offered by SWSE, the Semantic Web Search Engine. en
dc.format application/pdf en
dc.language.iso en en
dc.subject.lcsh Semantic Web en
dc.subject.lcsh Search engines en
dc.title Building a Semantic Web Search Engine: Challenges and Solutions en
dc.type Conference paper en
dc.description.peer-reviewed peer-reviewed en
dc.contributor.funder Science Foundation Ireland en

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