DocumentCode :
2903025
Title :
Using Ontology to Map Categories in Blog
Author :
Hsu, Pei-Ling ; Liu, Po-Ching ; Chen, Yi-Shin
Author_Institution :
Dept. of Inf. Syst. Application, Nat. Tsing Hua Univ., Hsinchu
fYear :
2006
fDate :
Dec. 2006
Firstpage :
65
Lastpage :
72
Abstract :
This paper proposes a framework to automatically map user-defined categories in blog. The proposed framework is composed of a series of procedures including information extraction from the blog, building the personal ontology, and comparing semantic similarities between user-defined categories. Our novel semantic similarity techniques can determine how similar two sets of information concepts are, based on a given ontology. The experimental results demonstrate that our framework and our proposed semantic similarity techniques are effective
Keywords :
Web sites; information retrieval; ontologies (artificial intelligence); blog; information extraction; personal ontology; semantic similarity; user-defined category mapping; Application software; Computer science; Data mining; Information services; Information systems; Internet; Ontologies; Web pages; Web sites; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Integrating AI and Data Mining, 2006. AIDM '06. International Workshop on
Conference_Location :
Hobart, Tas.
Print_ISBN :
0-7695-2730-2
Type :
conf
DOI :
10.1109/AIDM.2006.17
Filename :
4030714
Link To Document :
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