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.
%0 Conference Paper
%1 Chernov
%A Chernov, Sergey
%A Iofciu, Tereza
%A Nejdl, Wolfgang
%A Zhou, Xuan
%B 1st Workshop on Semantic Wikis:
%D 2006
%K semantic wikipedia
%T Extracting Semantic Relationships between Wikipedia Categories
%X 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.
@inproceedings{Chernov,
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.},
added-at = {2008-02-10T02:19:38.000+0100},
author = {Chernov, Sergey and Iofciu, Tereza and Nejdl, Wolfgang and Zhou, Xuan},
biburl = {https://www.bibsonomy.org/bibtex/2c9a3a63f26617ab0969f45a169711204/brightbyte},
booktitle = {1st Workshop on Semantic Wikis:},
citeulike-article-id = {2160132},
description = {stuff from citeyoulike},
interhash = {a4f280861aa056209c5ae7908377a209},
intrahash = {c9a3a63f26617ab0969f45a169711204},
keywords = {semantic wikipedia},
month = {June{ December}},
priority = {2},
timestamp = {2009-01-23T09:58:50.000+0100},
title = {Extracting Semantic Relationships between Wikipedia Categories},
year = 2006
}