DocumentCode :
1813236
Title :
A Semantic Based Information Retrieval Model for Blog
Author :
Chen, Ying ; Guo, Wenping ; Zhao, Xiaoming
Author_Institution :
Sch. of Math. & Inf. Eng., Taizhou Univ., Linhai, China
fYear :
2010
fDate :
29-31 July 2010
Firstpage :
257
Lastpage :
260
Abstract :
As lack of semantic for information description and semantic support for the query processing, traditional Blog systems are unable to satisfying users in the performance of information organization and retrieval. Through analyzing the existing technologies in Blog systems and focusing on semantic retrieval of Blog information resource, this paper proposes Blog information retrieval model based on semantic. In order to implement semantic description for Blog information resource, we design a Blog ontology and a domain subject classification ontology. With predefined rules, we put forward a class hierarchy tree generating algorithm, expand Blog classification item semantic retrieval, and finally implement semantic retrieval by SPARQL query.
Keywords :
Web sites; ontologies (artificial intelligence); pattern classification; query processing; trees (mathematics); SPARQL query; blog information resource; blog ontology; blog systems; domain subject classification ontology; expand blog classification item semantic retrieval; hierarchy tree generating algorithm; query processing; semantic based information retrieval model; Classification tree analysis; Information services; Internet; Ontologies; Semantics; Web sites; Blog; Information Retrieval Model; SPARQL; Semantic retrieval; ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Commerce and Security (ISECS), 2010 Third International Symposium on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-8231-3
Electronic_ISBN :
978-1-4244-8231-3
Type :
conf
DOI :
10.1109/ISECS.2010.63
Filename :
5557391
Link To Document :
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