DocumentCode
1614800
Title
An Intelligent Search Model and an Improved Matching Algorithm
Author
Qing, Shi ; Jun-pen, Gong
Author_Institution
Comput. Sci. & Technol. Dept., Commun. Univ. of China, Beijing, China
fYear
2012
Firstpage
1181
Lastpage
1184
Abstract
With development of semantic web technology, the intelligent and semantic exploration is becoming an important discussion to the research of search engine. This paper proposes a model of semantic search engine based on analysis of Semantic Web and ontology, and considering inheritance relationship between nodes, improves the concept of semantic distance and similarity matching algorithm. The results show that these optimizations improve the accuracy and expand the scope of application.
Keywords
ontologies (artificial intelligence); pattern matching; search engines; semantic Web; Semantic Web technology; improved matching algorithm; intelligent exploration; intelligent search model; ontology; search engine; semantic exploration; Cognition; Computational modeling; Databases; Ontologies; Search engines; Semantic Web; Semantics; Ontology; Search engine; Semantic Web; Semantic similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4673-1450-3
Type
conf
DOI
10.1109/ICICEE.2012.313
Filename
6322602
Link To Document