DocumentCode :
479192
Title :
An Ontology-Based Adaptive Topical Crawling Algorithm
Author :
Jin-Xing Shen
Author_Institution :
Sch. of Comput. Sci., GuangDong Polytech. Normal Univ., Guangzhou
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
4
Abstract :
In order to solve the problems of the veracity of the topical Web crawler which can not get the information interrelated with the given topical. A design framework and algorithm of the ontology-based adaptive topical crawling is brought forwards. We use the ontology technology to reduce the topical Web crawler to get the disrelated information with the topical, in order to improve the correlativity of the topical Web crawler. With the experiment of this algorithm, we get the good result of the information with the topical.
Keywords :
Internet; ontologies (artificial intelligence); ontology technology; ontology-based adaptive topical crawling algorithm; topical Web crawler; Algorithm design and analysis; Artificial intelligence; Computer science; Crawlers; Information resources; Internet; Ontologies; Search engines; Web sites; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.2843
Filename :
4681032
Link To Document :
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