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dc.contributor.authorLehmann, Jens
dc.contributor.authorSchüppel, Jörg
dc.contributor.authorAuer, Sören
dc.contributor.editorAuer, Sören
dc.contributor.editorBizer, Christian
dc.contributor.editorMüller, Claudia
dc.contributor.editorZhdanova, Anna V.
dc.date.accessioned2019-05-15T08:44:12Z
dc.date.available2019-05-15T08:44:12Z
dc.date.issued2007
dc.identifier.isbn978-3-88579-207-9
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/22392
dc.description.abstractThe Relationship Finder is a tool for exploring connections between objects in a Semantic Web knowledge base. It offers a new way to get insights about ele- ments in an ontology, in particular for large amounts of instance data. For this reason, we applied the idea to the DBpedia data set, which contains an enormous amount of knowledge extracted from Wikipedia. We describe the workings of the Relationship Finder algorithm and present some interesting statistical discoveries about DBpedia and Wikipedia.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofThe Social Semantic Web 2007 – Proceedings of the 1st Conference on Social Semantic Web (CSSW)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-113
dc.titleDiscovering Unknown Connections – the DBpedia Relationship Finderen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages99-109
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationLeipzig
mci.conference.dateSeptember 26-28, 2007


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