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WOODSS and the Web: annotating and reusing scientific workflows

机译:WOODSS和Web:注释和重用科学工作流程

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This paper discusses ongoing research on scientific workflows at the Institute of Computing, University of Campinas (IC - UNICAMP) Brazil. Our projects with bio-scientists have led us to develop a scientific workflow infrastructure named WOODSS. This framework has two main objectives in mind: to help scientists to specify and annotate their models and experiments; and to document collaborative efforts in scientific activities. In both contexts, workflows are annotated and stored in a database. This "annotated scientific workflow" database is treated as a repository of (sometimes incomplete) approaches to solving scientific problems. Thus, it serves two purposes: allows comparison of distinct solutions to a problem, and their designs; and provides reusable and executable building blocks to construct new scientific workflows, to meet specific needs. Annotations, moreover, allow further insight into methodology, success rates, underlying hypotheses and other issues in experimental activities. The many research challenges faced by us at the moment include: the extension of this framework to the Web, following Semantic Web standards; providing means of discovering workflow components on the Web for reuse; and taking advantage of planning in Artificial Intelligence to support composition mechanisms. This paper describes our efforts in these directions, tested over two domains -agro-environmental planning and bioinformatics.
机译:本文讨论了巴西坎皮纳斯大学计算机研究所(IC-UNICAMP)正在进行的有关科学工作流程的研究。我们与生物科学家的项目使我们开发了名为WOODSS的科学工作流程基础架构。这个框架有两个主要目标:帮助科学家指定和注释他们的模型和实验;并记录在科学活动中的协作努力。在这两种情况下,都对工作流进行注释并存储在数据库中。该“带批注的科学工作流程”数据库被视为解决科学问题的方法的存储库(有时是不完整的)。因此,它有两个目的:允许比较一个问题的不同解决方案及其设计;并提供可重复使用和可执行的构建块,以构建新的科学工作流程,以满足特定需求。此外,注释还可以进一步洞察方法,成功率,基本假设和实验活动中的其他问题。目前,我们面临的许多研究挑战包括:遵循语义Web标准将该框架扩展到Web。提供在Web上发现工作流组件以供重用的方法;并利用人工智能中的计划来支持组合机制。本文介绍了我们在这些方向上所做的努力,并在两个领域进行了测试:农业环境规划和生物信息学。

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