DocumentCode
3080868
Title
Semantic sense extraction from Wikipedia pages
Author
Pirrone, Roberto ; Pipitone, Arianna ; Russo, Giuseppe
Author_Institution
Dipt. di Ing. Inf. (DINFO), Univ. degli Studi di Palermo, Palermo, Italy
fYear
2010
fDate
13-15 May 2010
Firstpage
543
Lastpage
547
Abstract
This paper discusses a modality to access and to organize unstructured contents related to a particular topic coming from the access to Wikipedia pages. The proposed approach is focused on the acquisition of new knowledge from Wikipedia pages and is based on the definition of useful patterns able to extract and identify novel concepts and relations to be added in the knowledge base. We proposes a method that uses information from the wiki page´s structure. According to the different part of the page we define different strategies to obtain new concepts or relation between them. We analyze not only structure but text directly to obtain relations and concepts and to extract the type of relations to be incorporated in a domain ontology. The purpose is to use the obtained information in an intelligent tutoring system to improve his capabilities in dialogue management with users.
Keywords
Web sites; content management; intelligent tutoring systems; ontologies (artificial intelligence); Wikipedia pages; dialogue management; domain ontology; intelligent tutoring system; knowledge acquisition; semantic sense extraction; unstructured content organization; Collaboration; Data mining; Encyclopedias; Information resources; Intelligent systems; Knowledge acquisition; Ontologies; Pattern matching; Resource management; Wikipedia; Knowledge Acquisition; Wikipedia Pages; semantic sense extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Human System Interactions (HSI), 2010 3rd Conference on
Conference_Location
Rzeszow
Print_ISBN
978-1-4244-7560-5
Type
conf
DOI
10.1109/HSI.2010.5514514
Filename
5514514
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