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Exploring lexicographic ontologies for hierarchically organizing the greek wikipedia articles
Abstract To effectively manage the proliferating onTo effectively manage the proliferating online content, it is imperative that we come up with efficient data structuring and organization methods. Based on the findings of previous research [6] [7] that the most flexible and useful way to organize the online content is via the use of taxonomies and/or ontologies, we carried out the present study, which aims at structuring the content of the Greek Wikipedia via the use of the Greek WordNet. In particular, our study objective is to design a model that can automatically organize the Greek Wikipedia categories into a thematic taxonomy and based on the derived organization, to implicitly assign hierarchical structure to the encyclopedia articles that have been classified to the respective categories. To this end, we relied on the data encoded in Greek WordNet out of which we harvested the hierarchical relations that hold between the terms used to verbalize the Wikipedia categories. The effectiveness of our model is verified by the findings of several experimental evaluations conducted, which demonstrate that semantic networks are powerful resources for hierarchically organizing large volumes of dynamic data. organizing large volumes of dynamic data.
Abstractsub To effectively manage the proliferating onTo effectively manage the proliferating online content, it is imperative that we come up with efficient data structuring and organization methods. Based on the findings of previous research [6] [7] that the most flexible and useful way to organize the online content is via the use of taxonomies and/or ontologies, we carried out the present study, which aims at structuring the content of the Greek Wikipedia via the use of the Greek WordNet. In particular, our study objective is to design a model that can automatically organize the Greek Wikipedia categories into a thematic taxonomy and based on the derived organization, to implicitly assign hierarchical structure to the encyclopedia articles that have been classified to the respective categories. To this end, we relied on the data encoded in Greek WordNet out of which we harvested the hierarchical relations that hold between the terms used to verbalize the Wikipedia categories. The effectiveness of our model is verified by the findings of several experimental evaluations conducted, which demonstrate that semantic networks are powerful resources for hierarchically organizing large volumes of dynamic data. organizing large volumes of dynamic data.
Bibtextype article  +
Has author Niarou M. + , Stamou S. +
Has extra keyword Dynamic data + , Experimental evaluation + , Hierarchical organizations + , Hierarchical relations + , Hierarchical structures + , On-line contents + , Semantic network + , Wikipedia + , Wordnet + , Ontology + , Semantics + , Taxonomies + , Websites +
Has keyword Hierarchical organization + , Wikipedia articles + , Wordnet +
Issn 9727272  +
Issue 3  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 157–167  +
Published in Journal of Digital Information Management +
Title Exploring lexicographic ontologies for hierarchically organizing the greek wikipedia articles +
Type journal article  +
Volume 10  +
Year 2012 +
Creation dateThis property is a special property in this wiki. 7 November 2014 21:07:19  +
Categories Publications without license parameter  + , Publications without DOI parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Journal articles  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 21:07:19  +
DateThis property is a special property in this wiki. 2012  +
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