DocumentCode :
2022380
Title :
Semantic-based schema integration on grid
Author :
Lee, Won-Myoung ; Kim, Soo-IK ; Jeong, Chang-Sung
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
fYear :
2009
fDate :
16-18 Nov. 2009
Firstpage :
200
Lastpage :
203
Abstract :
More and more an Ontology is getting a key for grid platform to support the data combination of heterogeneous distributed resources. In this paper, we propose ontology-based data grid architecture for gathering large-scale distributed information of independent data sources by linking the ubiquitous computing middleware. This method that is not the keyword-based matching can bring closer results which human intend to acquire. The data grid system based on ontology is possible to access and integrate each distributed data of disperse databases around the world. In addition, this technique allows users to get more concise and abundant information. The architecture which is presented on this paper provides more effective way to search and retrieve data that users want to acquire from database by reducing the overhead of systems. So, the ubiquitous middleware core will obtain to have more affluent abilities as well as is able to be adopted for various fields.
Keywords :
distributed databases; grid computing; information retrieval; middleware; ontologies (artificial intelligence); ubiquitous computing; data combination support; data grid system; heterogeneous distributed resources; large scale distributed information; ontology based data grid architecture; semantic based schema integration; ubiquitous computing middleware; ubiquitous middleware core; Decision support systems; Neodymium; Ontology; data grid; semantic; ubiquitous computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research and Development (SCOReD), 2009 IEEE Student Conference on
Conference_Location :
UPM Serdang
Print_ISBN :
978-1-4244-5186-9
Electronic_ISBN :
978-1-4244-5187-6
Type :
conf
DOI :
10.1109/SCORED.2009.5443131
Filename :
5443131
Link To Document :
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