Extracting Semantics Relationships between Wikipedia Categories
S. Chernov, T. Iofciu, W. Nejdl, and X. Zhou. Proceedings of the First Workshop on Semantic Wikis -- From Wiki
To Semantics, ESWC2006, (June 2006)
Abstract
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 inlinks provide a better evidence
of semantic connection
in comparison to outlinks.
Description
All references containing the term "wiki" from the bibtex files of papers on the SemWiki2006 WS
%0 Conference Paper
%1 Chernov:2006:ESRbWC
%A Chernov, Sergey
%A Iofciu, Tereza
%A Nejdl, Wolfgang
%A Zhou, Xuan
%B Proceedings of the First Workshop on Semantic Wikis -- From Wiki
To Semantics
%D 2006
%E Völkel, Max
%E Schaffert, Sebastian
%I ESWC2006
%K semwiki2006 eswc2006 swikig wiki semantic
%T Extracting Semantics Relationships between Wikipedia Categories
%U http://semwiki.org/semwiki2006
%X 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 inlinks provide a better evidence
of semantic connection
in comparison to outlinks.
@inproceedings{Chernov:2006:ESRbWC,
abstract = {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 inlinks provide a better evidence
of semantic connection
in comparison to outlinks.},
added-at = {2006-06-14T13:18:56.000+0200},
author = {Chernov, Sergey and Iofciu, Tereza and Nejdl, Wolfgang and Zhou, Xuan},
biburl = {https://www.bibsonomy.org/bibtex/2d5d268180a3ef495a4955550f632e4d2/xamde},
booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki
To Semantics},
crossref = {SemWiki2006-proceedings},
description = {All references containing the term "wiki" from the bibtex files of papers on the SemWiki2006 WS},
editor = {V\"{o}lkel, Max and Schaffert, Sebastian},
interhash = {937f357bc62331be460b76896c88e144},
intrahash = {d5d268180a3ef495a4955550f632e4d2},
keywords = {semwiki2006 eswc2006 swikig wiki semantic},
month = {June},
owner = {voelkel},
publisher = {ESWC2006},
series = {Workshop on Semantic Wikis},
timestamp = {2006-06-14T13:18:56.000+0200},
title = {Extracting Semantics Relationships between Wikipedia Categories},
url = {http://semwiki.org/semwiki2006},
year = 2006
}