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
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;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.313