SGER: Enabling Effective Access to Scientific Workflows

有效搜索科学工作流程的研究是有限的。现有的工作假设，一旦工作流数据存储在数据库中，标准的查询语言可以直接用于访问数据。 为了提供有效利用科学工作流程的途径，仍有若干挑战有待解决。首先，工作流具有唯一的结构，用户查询应该能够指定目标工作流的结构。其次，搜索需求可以根据用户需求而多样化。有时，科学用户确切地知道她/他正在寻找什么，并且更喜欢对复杂的工作流数据发出复杂的结构化查询，以获得精确的搜索结果。在其他情况下，科学家不清楚他们正在搜索什么，和/或享受简单的搜索机制，而无需理解复杂的数据模式和查询语言。 计划开展的工作是对科学工作流程进行语义关键词搜索，智能地推断相关搜索结果并按排名顺序返回，并设计一种用户友好和富有表现力的查询语言，用户可以通过这种语言表达精确和复杂的查询，以检索科学工作流程。 常见类型的搜索将被用来识别逻辑运算符，这些运算符是表达这些搜索所必需的。将设计各种索引和标记方案以加快处理速度。拟议的项目将使科学家受益，使他们能够有效和高效地访问存储库中的科学工作流程，以便他们可以重用现有的工作流程设计，比较和分析几个工作流程，并在现有工作流程的指导下设计新的工作流程。通过提供对科学工作流程库的有效访问，这项研究促进了团队之间的数据共享和协作。 拟议的项目不仅将为管理科学工作流程的基本技术做出重大贡献，而且还将为科学用户提供一个通用和可扩展的系统，以搜索工作流程，从而有利于科学合作。还有一些重要的教育和培训目标。

Research on effectively searching scientific workflows is limited. Existing work assumes that once workflow data is stored in a database, standard query languages can be directly used to access the data. Several challenges remain to be addressed in order to provide effective access to scientific workflows. First, workflows have unique structure, and a user query should be able to specify the structure of target workflows. Second, search requirements can be diverse according to user needs. Sometimes a scientific user knows exactly what s/he is looking for, and prefers to issue a sophisticated structured query over complex workflow data in order to obtain precise search results. In other cases, scientists do not have a clear idea of what they are searching for, and/or enjoy a simple search mechanism without needing to understand complex data schemas and query languages. The work is planned to enable semantic keyword search on scientific workflows, where relevant search resultswill be intelligently inferred and returned in ranked order and to design a user-friendly and expressive query language by which users can express precise and sophisticated queries to retrieve scientific workflows. Common types of searches will be used to identify the logical operators that are essential to express these searches. Various indexing and labeling schemes will be designed to speed up processing. The proposed project will benefit scientists by enabling effective and efficient access to scientific workflows in a repository, so that they can reuse existing workflow designs, compare and analyze several workflows, and design new workflows guided by existing ones. By providing effective access to a scientific workflow repository, this research facilitates data sharing and collaborations among teams. The proposed project will not only make significant contributions to fundamental techniques for managing scientific workflows, but also deliver a generic and scalable system for scientific users to search workflows, thereby benefiting scientific collaboration. There are also significant educational and training objectives.