CloudMat: A framework for materials web resources integration in the resource description framework-based cloud

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成果类型：

期刊论文

作者：

Z. Y. Liu;C. P. Ouyang;Y. Li

通讯作者：

Liu, Z. Y.

作者机构：

[Liu Z.Y.; Li Y.] School of Information Engineering, University of Science and Technology Beijing, Beijing, China

School of Computer Science and Technology, University of South-China, Hengyang, 421001, China

[Ouyang C.P.] School of Information Engineering, University of Science and Technology Beijing, Beijing, China, School of Computer Science and Technology, University of South-China, Hengyang, 421001, China

通讯机构：

[Liu, Z. Y.] S

School of Information Engineering, University of Science and Technology Beijing, China

语种：

英文

关键词：

Cloud computing;Hadoop;MapReduce;Material data;RDF

期刊：

Advanced Science Letters

ISSN：

1936-6612

年：

2012

卷：

期：

页码：

111-115

DOI：

10.1166/asl.2012.2120

机构署名：

本校为其他机构

院系归属：

计算机科学与技术学院

摘要：

Cloud computing provides a solution which enables large-scale data and web resources sharing. RDF technology resolves the problems of semantic heterogeneity in data integration. Therefore, the combination of Cloud Computing and RDF brings great challenges to traditional data integration. This paper presents a framework for materials web resources integration in the RDF-based cloud (CloudMat), which focus on large amounts of materials web resources, to address the requirement of sharing materials data and capturing materials knowledge in cloud. ...

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CloudMat: A framework for materials web resources integration in the resource description framework-based cloud

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