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