Details
| Original language | English |
|---|---|
| Title of host publication | The Social Semantic Web 2007 - Proceedings of the 1st Conference on Social Semantic Web, CSSW 2007 |
| Pages | 99-109 |
| Number of pages | 11 |
| Publication status | Published - 2007 |
| Externally published | Yes |
| Event | 1st Conference on Social Semantic Web, CSSW 2007 - Leipzig, Germany Duration: 26 Sept 2007 → 28 Sept 2007 |
Publication series
| Name | The Social Semantic Web 2007 - Proceedings of the 1st Conference on Social Semantic Web, CSSW 2007 |
|---|
Abstract
The 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 elements 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.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
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The Social Semantic Web 2007 - Proceedings of the 1st Conference on Social Semantic Web, CSSW 2007. 2007. p. 99-109 (The Social Semantic Web 2007 - Proceedings of the 1st Conference on Social Semantic Web, CSSW 2007).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Discovering unknown connections - The DBpedia relationship finder
AU - Lehmann, Jens
AU - Schüppel, Jörg
AU - Auer, Sören
PY - 2007
Y1 - 2007
N2 - The 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 elements 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.
AB - The 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 elements 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.
UR - http://www.scopus.com/inward/record.url?scp=84871193751&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84871193751
SN - 9783885792079
T3 - The Social Semantic Web 2007 - Proceedings of the 1st Conference on Social Semantic Web, CSSW 2007
SP - 99
EP - 109
BT - The Social Semantic Web 2007 - Proceedings of the 1st Conference on Social Semantic Web, CSSW 2007
T2 - 1st Conference on Social Semantic Web, CSSW 2007
Y2 - 26 September 2007 through 28 September 2007
ER -