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arXiv 1012.1667cs.AI
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生命科学中需求驱动的Web服务发现的语义方法

A semantic approach for the requirement-driven discovery of web services in the Life Sciences

Universitat Jaume I(海梅一世大学)

Maria Perez, Rafael Berlanga, Ismael Sanz

摘要:

生命科学研究依赖于大型、分布式和异构数据源与Web服务的集成。发现这些资源是最适合解决一个给定的任务是一个复杂的研究问题,因为有大量的似是而非的候选人,有很少,主要是非结构化的,元数据能够决定其中,我们贡献了一个半自动的方法,基于语义技术,以帮助研究人员在发现最合适的Web服务,以满足一组给定的要求。

英文摘要:

Research in the Life Sciences depends on the integration of large, distributed and heterogeneous data sources and web services. The discovery of which of these resources are the most appropriate to solve a given task is a complex research question, since there is a large amount of plausible candidates and there is little, mostly unstructured, metadata to be able to decide among them.We contribute a semi-automatic approach,based on semantic techniques, to assist researchers in the discovery of the most appropriate web services to full a set of given requirements.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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