DocumentCode :
123464
Title :
Web oriented learning strategies of relationships among domain ontology concepts
Author :
Yongjian Liu ; Jing Xie ; Jingling Yuan ; Jianpeng Sun
Author_Institution :
Comput. Sci. & Technol. Sch., Wuhan Univ. of Technol., Wuhan, China
fYear :
2014
fDate :
22-24 Aug. 2014
Firstpage :
677
Lastpage :
681
Abstract :
In order to learn the taxonomic and non-taxonomic relationships among ontology to help knowledge engineers construct domain ontology, we propose a method to obtain relationships among concepts automatically in Chinese domain ontology learning environment. The method is based on Web data to extract candidate relations and discusses relationships extraction based on webpage link, categories, free text or non-taxonomic relationships according to different relationships. It presents the learning strategies of relationships among domain ontology from web under Chinese environment and explores the methods of learning concepts relations from multiple angles, which can overcome the one-sidedness of a single method effectively.
Keywords :
Internet; learning (artificial intelligence); ontologies (artificial intelligence); Chinese domain ontology learning environment; Web data; Web oriented learning strategy; concepts relation learning; relationships extraction; Additives; Cats; Computers; IP networks; Ontologies; Ports (Computers); Software; Web; domain ontology concepts; non-taxonomic relationship; ontology learning; taxonomic relationship;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4799-2949-8
Type :
conf
DOI :
10.1109/ICCSE.2014.6926547
Filename :
6926547
Link To Document :
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