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Titlebook: Generic Model Management; Concepts and Algorit Sergey Melnik Book 2004 Springer-Verlag Berlin Heidelberg 2004 algorithms.conceptual structu

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書目名稱Generic Model Management
副標(biāo)題Concepts and Algorit
編輯Sergey Melnik
視頻videohttp://file.papertrans.cn/383/382379/382379.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Generic Model Management; Concepts and Algorit Sergey Melnik Book 2004 Springer-Verlag Berlin Heidelberg 2004 algorithms.conceptual structu
描述.Many challenging problems in information systems engineering involve the manipulation of complex metadata artifacts or models, such as database schema, interface specifications, or object diagrams, and mappings between models. Applications solving metadata manipulation problems are complex and hard to build. The goal of generic model management is to reduce the amount of programming needed to solve such problems by providing a database infrastructure in which a set of high-level algebraic operators are applied to models and mappings as a whole rather than to their individual building blocks...This book presents a systematic study of the concepts and algorithms for generic model management. The first prototype of a generic model management system is described, the algebraic operators are introduced and analyzed, and? novel algorithms for implementing them are developed. Using the prototype system and the operators presented, solutions are developed for several practically relevant problems, such as change propagation and reintegration..
出版日期Book 2004
關(guān)鍵詞algorithms; conceptual structures; data semantics; database schemas; generic model management; generic mo
版次1
doihttps://doi.org/10.1007/b97859
isbn_softcover978-3-540-21980-4
isbn_ebook978-3-540-24684-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2004
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https://doi.org/10.1007/978-1-137-56244-9al definition and, in a way, enjoys a special status. The reason for its specialty is that matching typically involves information that is not contained in the input models. Uncovering how two models relate to each other requires reading documentation, examining instances of models, and talking to the engineers who designed or deploy the models.
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7. Similarity Flooding Algorithmal definition and, in a way, enjoys a special status. The reason for its specialty is that matching typically involves information that is not contained in the input models. Uncovering how two models relate to each other requires reading documentation, examining instances of models, and talking to the engineers who designed or deploy the models.
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發(fā)表于 2025-3-23 01:12:02 | 只看該作者
8. Filtersce presented to a human user for every schema element may be overwhelming, even when the presented match candidates are ordered by rank. We refer to the immediate result of the iterative computation as ., since it contains many potentially useful mappings as subsets.
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https://doi.org/10.1007/978-981-287-943-1ata management explored in the dissertation, called generic model management, and formulate our main objectives. An overview of the structure and contributions of the dissertation is given in Sect. 1.4.
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