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dc.contributor.authorHarth, Andreasen
dc.contributor.authorUmbrich, Jürgenen
dc.contributor.authorHogan, Aidanen
dc.contributor.authorDecker, Stefanen
dc.date.accessioned2009-11-27T12:02:31Zen
dc.date.available2009-11-27T12:02:31Zen
dc.date.issued2007en
dc.identifier.citationAndreas Harth, Jürgen Umbrich, Aidan Hogan, Stefan Decker "YARS2: A Federated Repository for Querying Graph Structured Data from the Web", Proceedings of the 6th International Semantic Web Conference, 2007.en
dc.identifier.urihttp://hdl.handle.net/10379/423en
dc.description.abstractWe present the architecture of an end-to-end semantic search engine that uses a graph data model to enable interactive query answering over structured and interlinked data collected from many disparate sources on the Web. In particular, we study distributed indexing methods for graph-structured data and parallel query evaluation methods on a cluster of computers. We evaluate the system on a dataset with 430 million statements collected from the Web, and provide scale-up experiments on 7 billion synthetically generated statements.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subject.lcshWorld Wide Weben
dc.subject.lcshSemantic weben
dc.titleYARS2: A Federated Repository for Querying Graph Structured Data from the Weben
dc.typeConference Paperen
dc.description.peer-reviewedpeer-revieweden
dc.contributor.funderTripComen
nui.item.downloads1612


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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland