DocumentCode :
2076866
Title :
Semantic Retrieval for Sports Information Based on Ontology and SPARQL
Author :
Zhai, Jun ; Zhou, Kaitao
Author_Institution :
Sch. of Manage., Dalian Maritime Univ., Dalian, China
Volume :
1
fYear :
2010
fDate :
7-8 Aug. 2010
Firstpage :
395
Lastpage :
398
Abstract :
Semantic retrieval becomes the hot topic in information retrieval on the Semantic Web. Ontology, with the excellent concept hierarchy and appropriately supporting for logic reasoning, is the effective tool for semantic retrieval. This paper pays attention to the semantic retrieval for sports information in WWW. Firstly, based on the domain ontology model, we build the sports ontology which has the character of wide-cover and small information granularity. Then we present the semantic retrieval system of sports information using SPARQL query language, which realizes the intelligent retrieval at semantic level according to the relations of “synonymy of”, “kind of” and “part of” between sports concepts. For the trend of exploding increase of sports information, this research has practical significance to some extent.
Keywords :
information retrieval; ontologies (artificial intelligence); query languages; semantic Web; sport; SPARQL query language; information retrieval; intelligent retrieval; logic reasoning; ontology; semantic Web; sport information; Cognition; Educational institutions; Information retrieval; Ontologies; Resource description framework; Rockets; Semantics; SPARQL; ontology; semantic retrieval; sports information; the Semantic Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-7669-5
Electronic_ISBN :
978-1-4244-7670-1
Type :
conf
DOI :
10.1109/ISME.2010.79
Filename :
5572265
Link To Document :
بازگشت