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Semi-automated schema integration with SASMINT

机译：与SASMINT的半自动模式集成

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The emergence of increasing number of collaborating organizations has made clear the need for supporting interoperability infrastructures, enabling sharing and exchange of data among organizations. Schema matching and schema integration are the crucial components of the interoperability infrastructures, and their semi-automation to interrelate or integrate heterogeneous and autonomous databases in collaborative networks is desired. The Semi-Automatic Schema Matching and INTegration (SASMINT) System introduced in this paper identifies and resolves several important syntactic, semantic, and structural conflicts among schemas of relational databases to find their likely matches automatically. Furthermore, after getting the user validation on the matched results, it proposes an integrated schema. SASMINT uses a combination of a variety of metrics and algorithms from the Natural Language Processing and Graph Theory domains for its schema matching. For the schema integration, it utilizes a number of derivation rules defined in the scope of the research work explained in this paper. Furthermore, a derivation language called SASMINT Derivation Markup Language (SDML) is defined for capturing and formulating both the results of matching and the integration that can be further used, for example for federated query processing from independent databases. In summary, the paper focuses on addressing: (1) conflicts among schemas that make automatic schema matching and integration difficult, (2) the main components of the SASMINT approach and system, (3) in-depth exploration of SDML, (4) heuristic rules designed and implemented as part of the schema integration component of the SASMINT system, and (5) experimental evaluation of SASMINT.
机译：越来越多的协作组织的出现明确表明，需要支持互操作性基础架构，以实现组织之间的数据共享和交换。模式匹配和模式集成是互操作性基础结构的关键组成部分，因此需要半自动化以在协作网络中相互关联或集成异构数据库和自治数据库。本文介绍的半自动模式匹配和集成（SASMINT）系统识别并解决了关系数据库的模式之间的一些重要句法，语义和结构冲突，以自动找到它们可能的匹配项。此外，在获得用户对匹配结果的验证后，它提出了一个集成模式。 SASMINT使用自然语言处理和图论领域的各种度量和算法的组合来进行模式匹配。对于模式集成，它利用了本文解释的研究工作范围内定义的许多派生规则。此外，定义了一种称为SASMINT派生标记语言（SDML）的派生语言，用于捕获和制定匹配结果以及可以进一步使用的集成（例如，用于来自独立数据库的联合查询处理）。总而言之，本文着重解决以下问题：（1）使自动模式匹配和集成变得困难的模式之间的冲突；（2）SASMINT方法和系统的主要组成部分；（3）对SDML的深入探索；（4）作为SASMINT系统的模式集成组件的一部分设计和实现的启发式规则，以及（5）SASMINT的实验评估。

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