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