Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | SemWiki2006 |
| Untertitel | First Workshop on Semantic Wikis - From Wiki to Semantics |
| Seiten | 153-163 |
| Seitenumfang | 11 |
| Publikationsstatus | Veröffentlicht - 2006 |
| Veranstaltung | 1st Workshop on Semantic Wikis - From Wiki to Semantics, SemWiki 2006 - Co-located with the ESWC 2006 - Budva, Montenegro Dauer: 12 Juni 2006 → 12 Juni 2006 |
Publikationsreihe
| Name | CEUR Workshop Proceedings |
|---|---|
| Herausgeber (Verlag) | CEUR Workshop Proceedings |
| Band | 206 |
| ISSN (Print) | 1613-0073 |
Abstract
The Wikipedia is the largest online collaborative knowledge sharing system, a free encyclopedia. Built upon traditional wiki architectures, its search capabilities are limited to title and full-text search. We suggest that semantic information can be extracted from Wikipedia by analyzing the links between categories. The results can be used for building a semantic schema for Wikipedia which could improve its search capabilities and provide contributors with meaningful suggestions for editing theWikipedia pages.We analyze relevant measures for inferring the semantic relationships between page categories of Wikipedia. Experimental results show that Connectivity Ratio positively correlates with the semantic connection strength.
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SemWiki2006: First Workshop on Semantic Wikis - From Wiki to Semantics. 2006. S. 153-163 12 (CEUR Workshop Proceedings; Band 206).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Extracting semantic relationships between wikipedia categories
AU - Chernov, Sergey
AU - Iofciu, Tereza
AU - Nejdl, Wolfgang
AU - Zhou, Xuan
PY - 2006
Y1 - 2006
N2 - The Wikipedia is the largest online collaborative knowledge sharing system, a free encyclopedia. Built upon traditional wiki architectures, its search capabilities are limited to title and full-text search. We suggest that semantic information can be extracted from Wikipedia by analyzing the links between categories. The results can be used for building a semantic schema for Wikipedia which could improve its search capabilities and provide contributors with meaningful suggestions for editing theWikipedia pages.We analyze relevant measures for inferring the semantic relationships between page categories of Wikipedia. Experimental results show that Connectivity Ratio positively correlates with the semantic connection strength.
AB - The Wikipedia is the largest online collaborative knowledge sharing system, a free encyclopedia. Built upon traditional wiki architectures, its search capabilities are limited to title and full-text search. We suggest that semantic information can be extracted from Wikipedia by analyzing the links between categories. The results can be used for building a semantic schema for Wikipedia which could improve its search capabilities and provide contributors with meaningful suggestions for editing theWikipedia pages.We analyze relevant measures for inferring the semantic relationships between page categories of Wikipedia. Experimental results show that Connectivity Ratio positively correlates with the semantic connection strength.
UR - http://www.scopus.com/inward/record.url?scp=84873430923&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84873430923
T3 - CEUR Workshop Proceedings
SP - 153
EP - 163
BT - SemWiki2006
T2 - 1st Workshop on Semantic Wikis - From Wiki to Semantics, SemWiki 2006 - Co-located with the ESWC 2006
Y2 - 12 June 2006 through 12 June 2006
ER -