DocumentCode :
503810
Title :
An Intelligent Metadata Management System
Author :
Yu, Zhang ; Hongwei, Zhao
Author_Institution :
Sch. of Inf. Eng., ShengYang Univ., Shenyang, China
Volume :
1
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
22
Lastpage :
26
Abstract :
According to catch technology and ontology, some characteristics of traditional metadata system and characteristics of metadata in grid have been analyzed in the paper. An intelligent metadata management system which adopts the completely distributed structure, has been proposed. The architecture called SMICC (semantic metadata intelligent cache controller) adopts an intelligent cache and semantic to control the metadata system, so the grid applications can automatically access metadata in the best way. As a result, remote metadata information is to be stored in the cache of local metadata system, Additionally, SMICC can obtain the consistent concept of query, reduce the inquiry scope, and realize the extensive request of query based on intelligent inference with the use of concept connection, which can not only enhance precision and recall in inquiring process, but also improve the efficiency of access.
Keywords :
cache storage; grid computing; inference mechanisms; knowledge representation languages; meta data; ontologies (artificial intelligence); query processing; OWL; SMICC; automatically access metadata; cache storage; catch technology; distributed structure; grid application; intelligent inference; intelligent metadata management system; ontology; query concept; remote metadata information; semantic metadata intelligent cache controller; Automatic control; Control systems; Engineering management; Intelligent structures; Intelligent systems; Ontologies; Paper technology; Resource management; Software engineering; Technology management; Grid; Intelligent cache; OWL; Ontology; global name system (GNS);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3570-8
Type :
conf
DOI :
10.1109/WCSE.2009.414
Filename :
5318903
Link To Document :
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