DocumentCode
593882
Title
Redundant instances and incorrect instances detection mechanism in ontology population
Author
Xiaoyun Wang ; Jianping Yao ; Haocheng Wang
Author_Institution
Manage. Sci. & Eng., HangZhou DianZi Univ., Hangzhou, China
fYear
2012
fDate
18-20 Dec. 2012
Firstpage
1
Lastpage
4
Abstract
With the rapid development of the Internet, many researchers have been focused on ontology knowledge bases updating. Ontology population has played an important role in updating ontology knowledge bases. However, most domestic and foreign scholars focus on the process of ontology population, while neglecting how to detect and eliminate redundant instances and how to detect the results of population. In this paper, we proposed a mechanism based on instance matching algorithm, trying to verify the results of population, we also present an empirical analysis to verify the validity of the method.
Keywords
Internet; knowledge based systems; ontologies (artificial intelligence); Internet; incorrect instance detection mechanism; instance matching algorithm; ontology knowledge base updating; ontology population; redundant instance detection mechanism; Accuracy; Data mining; Ontologies; Semantic Web; Semantics; Sociology; Statistics; Ontology population; instance matching; redundant instance;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Systems and Industrial Informatics (ICCSII), 2012 International Conference on
Conference_Location
Sharjah
Print_ISBN
978-1-4673-5155-3
Type
conf
DOI
10.1109/ICCSII.2012.6454616
Filename
6454616
Link To Document