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
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