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AgreementMaker: efficient matching for large real-world schemas and ontologies

Editors: Serge Abiteboul, Tova Milo, Jignesh Patel, Philippe Rigaux Authors:

Isabel F. Cruz,

Flavio Palandri Antonelli,

Cosmin StroeAuthors Info & Claims

Proceedings of the VLDB Endowment, Volume 2, Issue 2

Pages 1586 - 1589

https://doi.org/10.14778/1687553.1687598

Published: 01 August 2009 Publication History

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Abstract

We present the AgreementMaker system for matching real-world schemas and ontologies, which may consist of hundreds or even thousands of concepts. The end users of the system are sophisticated domain experts whose needs have driven the design and implementation of the system: they require a responsive, powerful, and extensible framework to perform, evaluate, and compare matching methods. The system comprises a wide range of matching methods addressing different levels of granularity of the components being matched (conceptual vs. structural), the amount of user intervention that they require (manual vs. automatic), their usage (stand-alone vs. composed), and the types of components to consider (schema only or schema and instances). Performance measurements (recall, precision, and runtime) are supported by the system, along with the weighted combination of the results provided by those methods. The AgreementMaker has been used and tested in practical applications and in the Ontology Alignment Evaluation Initiative (OAEI) competition. We report here on some of its most advanced features, including its extensible architecture that facilitates the integration and performance tuning of a variety of matching methods, its capability to evaluate, compare, and combine matching results, and its user interface with a control panel that drives all the matching methods and evaluation strategies.

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Kuusik NVain J(2024)Ontology Merging Using the Weak Unification of ConceptsBig Data and Cognitive Computing10.3390/bdcc80900988:9(98)Online publication date: 27-Aug-2024
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Cimmino AGarcía-Castro R(2024)Helio: A framework for implementing the life cycle of knowledge graphsSemantic Web10.3233/SW-23322415:1(223-249)Online publication date: 12-Jan-2024
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Sharma AJain SPatel A(2024)Large Scale Ontology Matching System (LSMatch)Recent Advances in Computer Science and Communications10.2174/266625581666623060614052617:2Online publication date: Feb-2024
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Index Terms

AgreementMaker: efficient matching for large real-world schemas and ontologies
1. Information systems
  1. Data management systems
    1. Database design and models
      1. Data model extensions
  2. Information retrieval
    1. Document representation

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cover image Proceedings of the VLDB Endowment

Proceedings of the VLDB Endowment Volume 2, Issue 2

August 2009

367 pages

ISSN:2150-8097

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Published: 01 August 2009

Published in PVLDB Volume 2, Issue 2

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Cimmino AGarcía-Castro R(2024)Helio: A framework for implementing the life cycle of knowledge graphsSemantic Web10.3233/SW-23322415:1(223-249)Online publication date: 12-Jan-2024
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BLOOMS on agreementmaker: results for OAEI 2010

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Using AgreementMaker to align ontologies for OAEI 2010

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