文章基本信息

标题：Ontology-Based Scientific Service Instant Response System Design
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作者：Xiaoning Wang ; Xing Fang ; Ke Hou 等
期刊名称：Journal of Software Engineering
印刷版ISSN：1819-4311
电子版ISSN：2152-0941
出版年度：2015
卷号：9
期号：3
页码：574-585
DOI：10.3923/jse.2015.574.585
出版社：Academic Journals Inc., USA
摘要：With the trend of scientific resources getting more important and the resource amount turning to massive, the precision and scalability become key factor of the scientific service system. This study builds the Scientific Service Instant Response System (SSIRS) with the technology of semantic web , cloud computing and parallel processing. For OWL data reasoning, the method which is used to transform scientific datainto OWL data was proposed and the composite suggestion algorithm was achieved. MapReduce programming model was used to process data and the task abstract on multi-core with TBB was done. The experiment result showed that the SSIRS improves the searching efficiency, precision and scalability.