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
Link To Document :
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