Titlebook: Data Integration in the Life Sciences; 9th International Co Christopher J. O. Baker,Greg Butler,Igor Jurisica Conference proceedings 2013 S

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書目名稱Data Integration in the Life Sciences影響因子(影響力)




書目名稱Data Integration in the Life Sciences影響因子(影響力)學(xué)科排名




書目名稱Data Integration in the Life Sciences網(wǎng)絡(luò)公開度




書目名稱Data Integration in the Life Sciences網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Integration in the Life Sciences被引頻次




書目名稱Data Integration in the Life Sciences被引頻次學(xué)科排名




書目名稱Data Integration in the Life Sciences年度引用




書目名稱Data Integration in the Life Sciences年度引用學(xué)科排名




書目名稱Data Integration in the Life Sciences讀者反饋




書目名稱Data Integration in the Life Sciences讀者反饋學(xué)科排名

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978-3-642-39436-2Springer-Verlag Berlin Heidelberg 2013

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Cloud Computing and Services Scienceurces and sinks, each with its own data format, vocabulary and information requirements. The resulting data production processes often require a number of steps that must be repeated when source data changes – often wastefully if only certain portions of the data changed. This paper explains how dis

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https://doi.org/10.1007/978-3-319-04519-1, and provide access to software modules that cannot be installed on regular computers due their complexity and heaviness. Whereas XML is the . interchange format for web services, the different XML schemas and the absence of semantics make the integration of resources (XML-based web services and th

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設(shè)施

A Scalable Monitor for Large Systemsproblem in a largely automatic way: (1) a . relying on the principle of mapping composition and (2) a . algorithm individually handling change operations to update the mapping. Both techniques reuse unaffected correspondences, and adapt only the affected mapping part. We experimentally assess and co