DocumentCode :
3276097
Title :
The Understanding between Two Agent Crawlers based on Domain Ontology
Author :
Wang, Yingyu ; Du, Yajun ; Chen, Shaoming
Author_Institution :
Sch. of Math. & Comput. Eng., Xihua Univ., Chengdu, China
Volume :
1
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
47
Lastpage :
50
Abstract :
Ontology is widely used in the computer domain to structure concepts that represent a view of world. In this paper, we present the coordination between two Agent Crawlers based on ontology and try to measure the understanding between them relying on Formal Concept Analysis instead of comparing terms only. Here we propose a novel method on concept similarity for computing the Concept-Concept similarity, the Concept-Ontology similarity and the Ontology-Ontology similarity, and at last we can deduce the understanding between two Agent Crawlers. Finally, we can guide the crawlers effectively in our Search Engine.
Keywords :
multi-agent systems; ontologies (artificial intelligence); search engines; agent crawlers; concept-concept similarity; concept-ontology similarity; domain ontology; formal concept analysis; ontology-ontology similarity; search engine; Computational intelligence; Crawlers; Information analysis; Information retrieval; Information systems; Mathematics; Ontologies; Processor scheduling; Relational databases; Search engines; Agent Crawlers; Concept similarity; Formal Concept Analysis; Ontology; the degree of understanding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
Type :
conf
DOI :
10.1109/CINC.2009.204
Filename :
5231592
Link To Document :
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