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Titlebook: Data Integration; The Relational Logic Michael Genesereth Book 2010 Springer Nature Switzerland AG 2010

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發(fā)表于 2025-3-21 18:15:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data Integration
副標(biāo)題The Relational Logic
編輯Michael Genesereth
視頻videohttp://file.papertrans.cn/263/262822/262822.mp4
叢書名稱Synthesis Lectures on Artificial Intelligence and Machine Learning
圖書封面Titlebook: Data Integration; The Relational Logic Michael Genesereth Book 2010 Springer Nature Switzerland AG 2010
描述Data integration is a critical problem in our increasingly interconnected but inevitably heterogeneous world. There are numerous data sources available in organizational databases and on public information systems like the World Wide Web. Not surprisingly, the sources often use different vocabularies and different data structures, being created, as they are, by different people, at different times, for different purposes. The goal of data integration is to provide programmatic and human users with integrated access to multiple, heterogeneous data sources, giving each user the illusion of a single, homogeneous database designed for his or her specific need. The good news is that, in many cases, the data integration process can be automated. This book is an introduction to the problem of data integration and a rigorous account of one of the leading approaches to solving this problem, viz., the relational logic approach. Relational logic provides a theoretical framework for discussing data integration. Moreover, in many important cases, it provides algorithms for solving the problem in a computationally practical way. In many respects, relational logic does for data integration what r
出版日期Book 2010
版次1
doihttps://doi.org/10.1007/978-3-031-01550-2
isbn_softcover978-3-031-00422-3
isbn_ebook978-3-031-01550-2Series ISSN 1939-4608 Series E-ISSN 1939-4616
issn_series 1939-4608
copyrightSpringer Nature Switzerland AG 2010
The information of publication is updating

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Data Integration978-3-031-01550-2Series ISSN 1939-4608 Series E-ISSN 1939-4616
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978-3-031-00422-3Springer Nature Switzerland AG 2010
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Book 2010 the relational logic approach. Relational logic provides a theoretical framework for discussing data integration. Moreover, in many important cases, it provides algorithms for solving the problem in a computationally practical way. In many respects, relational logic does for data integration what r
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Book 2010e in organizational databases and on public information systems like the World Wide Web. Not surprisingly, the sources often use different vocabularies and different data structures, being created, as they are, by different people, at different times, for different purposes. The goal of data integra
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Young Adults as a Social Category: Findings from an International Study in Light of Developmental and Cohort Perspectives,e extent to which higher education sets university students apart from the youth population in generally, as reflected in the YARG data. The chapter therefore provides a first glimpse into who the participants are, and what the categorization of them as young adults entails.
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