Title :
Research on Semi-automatic Domain Ontology Construction
Author :
Zhang Dan ; Zhang Li ; Jiang Hao
Author_Institution :
Sch. of Comput. & Eng., Southeast Univ., Nanjing, China
Abstract :
Ontology as an important knowledge representation tool is widely used in many fields. The most popular way to construct domain ontology is by manual. However, constructing domain ontology is a lengthy and costly thing. Research on construction of domain ontology is becoming increasingly widespread in computer science community. In this paper, an approach to semi-automatically constructing domain ontology based on Chinese word partition and data mining is proposed. The method is proved to be effective and also assures the quality of the ontology at a certain level.
Keywords :
data mining; ontologies (artificial intelligence); Chinese word partition; computer science community; data mining; knowledge representation tool; semi-automatic domain ontology construction; Clustering algorithms; Compounds; Construction industry; Context; Data mining; Ontologies; Taxonomy; K-Means clustering algorithm; association rule; domain ontology; generalized suffix tree;
Conference_Titel :
Web Information Systems and Applications Conference (WISA), 2010 7th
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-8440-9
DOI :
10.1109/WISA.2010.41
