Title :
A Web Search Contextual Crawler Using Ontology Relation Mining
Author :
Wu Chensheng ; Hou Wei ; Shi Yanqin ; Liu Tong
Author_Institution :
Beijing Municipal Inst. of Sci. & Technol. Inf., Beijing, China
Abstract :
In order to increase the correctness and the recall of vertical Web search system, a novel Web crawler ORC is proposed in this paper. By introducing ontologies, the semantic concepts are defined. The relations between ontologies are exploited to evaluate the importance of Web documents´ context. These ontologies are organized by a network structure that is updated periodically. Thanking to the ontology relation mining, the crawling space is expanded and focused more. A primitive vertical search system is built based on ORC at the end of this paper.
Keywords :
Internet; data mining; online front-ends; ontologies (artificial intelligence); search engines; Web document context; Web search contextual crawler; crawling space; ontologies; ontology relation mining; vertical Web search system; Crawlers; Data mining; Databases; Indexes; Ontologies; Search engines; Surveillance; Vocabulary; Web search; Web sites;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5365842
