Last edited by Aranris
Friday, May 8, 2020 | History

4 edition of Schema Matching and Mapping-based Data Integration found in the catalog.

Schema Matching and Mapping-based Data Integration

Architecture, Approaches and Evaluation

by Do, Hong Hai

  • 311 Want to read
  • 28 Currently reading

Published by VDM Verlag Dr. Mueller e.K. .
Written in English

    Subjects:
  • Applications of Computing,
  • General Theory of Computing,
  • Information Technology,
  • Management Information Systems,
  • Computers / Information Technology,
  • Computers-Management Information Systems,
  • Computers - General Information

  • The Physical Object
    FormatPaperback
    Number of Pages228
    ID Numbers
    Open LibraryOL8987389M
    ISBN 103865509975
    ISBN 109783865509970
    OCLC/WorldCa180961836

    The problem of Ontology Alignment has been tackled recently by trying to compute matching first and mapping (based on the matching) in an automatic fashion. Systems like DSSim, X-SOM [6] or COMA++ obtained at the moment very high precision and recall. [3]. Data Integration with Talend Open Studio Robert A. Nisbet, Ph.D. Most college courses in statistical analysis and data mining are focus on the mathematical techniques for analyzing data structures, rather than the practical steps necessary to create them. But in the business world, the vast majority of situations suitable for data mining.

    [Do05] H. H. Do. Schema Matching and Mapping-Based Data Integration. PhD thesis, University of Leipzig, [Euzenat04] J. Euzenat et al. State of the art on ontology matching. Read "Big Data Integration Theory Theory and Methods of Database Mappings, Programming Languages, and Semantics" by Zoran Majkić available from Rakuten Kobo. This book presents a novel approach to database concepts, describing a Brand: Springer International Publishing.

    Schema Matching techniques have been studied in a large variety of application contexts, like data integration, e-commerce, Data Warehousing, distributed query answering, to name a few,. Up to , Schema Matching was considered as an issue functional to a specific application domain. Such a vision was overturned by Rahm and BernsteinCited by: COMA/COMA++ (Do and Rahm, , Do and Rahm, , Rahm et al., ) is the most recent powerful composite schema matching approach to support mapping-based data integration. It combines results of multiple matching algorithms to produce semantic correspondence between by:


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Schema Matching and Mapping-based Data Integration by Do, Hong Hai Download PDF EPUB FB2

Schema Matching and Mapping-based Data Integration: Architecture, Approaches and Evaluation [Hai, Do Hong] on *FREE* shipping on qualifying offers. Schema Matching and Mapping-based Data Integration: Architecture, Approaches and EvaluationFormat: Paperback.

Download Citation | Schema matching and mapping-based data integration | Schema matching aims at identifying semantic correspondences between elements of.

Find many great new & used options and get the best deals for Schema Matching and Mapping-Based Data Integration: Architecture, Approaches and Evaluation by Do Hai (, Paperback) at the best online prices at eBay.

Free shipping for many products. Schema Matching and Mapping. Editors: Bellahsene, Zohra, Bonifati, Angela, Rahm large-scale and knowledge-driven schema matching, quality-driven schema mapping and evolution, and evaluation and tuning of matching tasks.

Uncertainty in Data Integration and Dataspace Support Platforms. Pages In: 2nd workshop on collective intelligence in semantic web and social networks Ontologies in support of problem solving Schema matching and mapping-based. ISBN: OCLC Number: Description: xii, pages: illustrations ; 24 cm.

Contents: Towards Large-Scale Schema and Ontology Matching / Erhard Rahm --Interactive Techniques to Support Ontology Matching / Sean M. Falconer and Natalya F.

Noy --Enhancing the Capabilities of Attribute Correspondences / Avigdor Gal --Uncertainty in. Schema Matching and Mapping-based Data Integration Dissertation. Veröffentlich durch Verlag Dr. Müller (VDM), ISBNthe book describes a new data integration approach, GenMapper (Generic Mapper), which utilizes instance-level correspondences between objects of data sources.

Submitted by Anonymous on 25 April, - Schema Matching and Mapping. Editors (view affiliations) Zohra Bellahsene transform and integrate large data sets from different sources and of different structure in order to enable seamless data exchange and transformation.

The book edited by Bellahsene, Bonifati and Rahm provides an overview of the ways in which the schema and ontology. Schema Matching and Mapping-Based Data Integration: Architecture, Approaches and. $ Free shipping. A Schema Therapy Self-Help and Support Book.

$ $ Free shipping. Zohra's Ladder: And Other Moroccan Tales (Eye Classics) by Pamela Windo Book Location: Oakland, California. 4. Uncertainty in data integration and dataspace support platforms.- Part II: Quality-driven schema mapping and evolution. Discovery and correctness of schema mapping transformations.

Recent advances in schema and ontology evolution. Schema mapping evolution through composition and inversion. Mapping-based merg­ing of schemas Pages: Matching Mapping-Based and Schema Data Approaches Architecture, Integration: and and Integration: Architecture, Matching Data Mapping-Based Approaches Schema and $ Schema Matching And Mapping-Based Data Integration: Architecture, Approaches.

Part I: Large-scale and knowledge-driven schema matching. Towards large-scale schema and ontology matching. Interactive techniques to support ontology matching. Enhancing the capabilities of attribute cor respondences. Uncertainty in data integration and dataspace support platforms.- Part II: Quality-driven schema mapping and.

This book presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a framework for database integration/exchange and peer-to-peer. Database mappings, database programming languages, and denotational and operational semantics are discussed in by: 4.

This book presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a framework for database integration/exchange and peer-to-peer. Database mappings, database programming languages, and denotational and operational semanticsBrand: Springer International Publishing.

Mapping-Based Merging of Schemas / Rachel Pottinger --pt. III Evaluating and Tuning of Matching Tasks On Evaluating Schema Matching and Mapping / Yannis Velegrakis Tuning for Schema Matching / Fabien Duchateau.

Series Title: Data-centric systems and applications. Responsibility: Zohra Bellahsene, Angela Bonifati, Erhard Rahm, Editors. The challenges of big data demand a clear theoretical and algebraic framework, extending the standard relational database (RDB) with more powerful features in order to manage the complex schema mappings.

This unique textbook/reference presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within. schema matching and mapping Or view definition that maps instances of one schema into instances matching.

schema matching and mapping-based data integration Establishing correspondences between elements of the source and target schemas. Generation of assertions e Cupid to two other schema matching systems.

Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics Zoran Majkić (auth.) This book presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a framework for database integration/exchange and peer-to-peer.

‎The challenges of big data demand a clear theoretical and algebraic framework, extending the standard relational database (RDB) with more powerful features in order to manage the complex schema mappings. This unique textbook/reference presents a. Data view-level mapping information provides schema mapping based on the data view that is being processed.

Mapping table in FIG. 3B illustrates an example of data view-level mapping information. The mapping table comprises a column of data view definition identifiers and a column of physical schema identifiers. To enable information integration, schema matching is a critical step for discovering semantic correspondences of attributes across heterogeneous sources.

While complex matchings are common, because of their far more complex search space, most existing techniques focus on simple matchings.Schema Mappings and Data Examples Balder ten Cate UC Santa Cruz Phokion G.

Kolaitis UC Santa Cruz and IBM Research - Almaden Wang-Chiew Tan UC Santa Cruz ABSTRACT A fundamental task in data integration and data exchange is the design of schema mappings, that is, high-level declarative specifi-cations of the relationship between two database.Schema Matching and Mapping Editors Zohra Bellahsene LIRMM CNRS/Univ.

Montpellier 2 Rue Ada Montpellier France [email protected] Angela Bonifati Consiglio Nazionale delle Ricerche (CNR) Via P. Bucci 41/C Rende Italy [email protected].