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Supporting end-users in defining complex queries on evolving and domain-specific data models

机译:支持最终用户定义有关不断发展的和特定于域的数据模型的复杂查询

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To define queries on domain-specific data-structures, end-users have to be familiar with the underlying data model. This is challenging if the data model evolves continuously and through collaborative model management. While visual languages address this issue by providing strong guidance for non-technical end-users, they suffer from a limited expressiveness due to their focus on usability. Therefore, they are not applicable in cases where domain-experts have the need to dedline complex queries. This paper proposes an interactive and textual query editor which focuses on the formulation of complex queries and the familiarization of the end-user with the underlying data model during the query definition process. We demonstrate our approach by this query editor's application in the domain of Enterprise Architecture Management, where tech-savvy end-users need to define complex metrics based on an evolving enterprise architecture model.
机译:要定义对特定于域的数据结构的查询,最终用户必须熟悉基础数据模型。如果数据模型通过合作模型管理连续不断地发展,这将是一个挑战。尽管视觉语言通过为非技术最终用户提供强有力的指导来解决此问题,但由于专注于可用性,它们的表现力有限。因此,它们不适用于领域专家需要简化复杂查询的情况。本文提出了一种交互式文本查询编辑器,该编辑器着重于复杂查询的表述以及最终用户对查询定义过程中基础数据模型的熟悉程度。我们通过此查询编辑器在企业体系结构管理领域的应用程序演示了我们的方法,在该体系结构中,精通技术的最终用户需要根据不断发展的企业体系结构模型定义复杂的指标。

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