DocumentCode :
559890
Title :
Class Tag Clustering Algorithm of Clustering Search Engine
Author :
Zhou Hong ; Zhu Dong-hua ; Liu Bing-wu
Author_Institution :
Sch. of Inf. Sci. & Technol., Beijing Wuzi Univ., Beijing, China
Volume :
1
fYear :
2011
fDate :
24-25 Sept. 2011
Firstpage :
371
Lastpage :
374
Abstract :
In order to solve the problems including semantic search, label cluster, theme-related difference of search engines especially under the Chinese environment, this paper aimed to construct a cluster search engine retrieval model suitable for semantic search environment for Chinese through introducing ontology and class label mechanism. Based on the improvement of traditional STC algorithm as well as ontology library and suffix array, this paper studied the class label extraction method of cluster research engine, and put forward related arithmetic of label cluster. The study of cluster research engine label cluster broke through the bottleneck of the semantic research of research engine and information resource management, and solved the single on-line research problem of metasearch and robot engine.
Keywords :
information resources; information retrieval; ontologies (artificial intelligence); search engines; Chinese environment; STC algorithm; class label extraction method; class label mechanism; class tag clustering algorithm; cluster research engine; cluster search engine retrieval model; clustering search engine; information resource management; label cluster; metasearch; ontology library; related arithmetic; robot engine; search engines; semantic research; semantic search environment; single on-line research problem; suffix array; theme-related difference; Clustering algorithms; Databases; Engines; Ontologies; Prototypes; Search engines; Semantics; STC; class tag; clustering search engine; ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4577-1419-1
Type :
conf
DOI :
10.1109/ICM.2011.83
Filename :
6113434
Link To Document :
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