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A \(\textit{Datalog}{\pm }\) Domain-Specific Durum Wheat Knowledge Base

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Book cover Metadata and Semantics Research (MTSR 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 672))

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Abstract

We consider the application setting where a domain-specific knowledge base about Durum Wheat has been constructed by knowledge engineers who are not experts in the domain. This knowledge base is prone to inconsistencies and incompleteness. The goal of this work is to show how the state of the art knowledge representation formalism called \(\textit{Datalog}{\pm }\) can be used to cope with such problems by (1) providing inconsistency-tolerant techniques to cope with inconsistency, and (2) providing an expressive logical language that allows representing incomplete knowledge.

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Notes

  1. 1.

    http://www.agence-nationale-recherche.fr/?Projet=ANR-13-ALID-0002.

  2. 2.

    http://www.agropedia.net.

  3. 3.

    http://www.lirmm.fr/cogui/.

  4. 4.

    Kiabora 0.1 website: http://www.lirmm.fr/~mugnier/graphik/kiabora/, see [8] for a detailed explanation.

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Author information

Authors and Affiliations

  1. LIRMM, University of Montpellier, Montpellier, France

    Abdallah Arioua & Madalina Croitoru

  2. IATE, INRA, Montpellier, France

    Abdallah Arioua & Patrice Buche

Authors
  1. Abdallah Arioua
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  2. Patrice Buche
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  3. Madalina Croitoru
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Corresponding author

Correspondence to Abdallah Arioua .

Editor information

Editors and Affiliations

  1. Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Alexander Technological Educational Inst , Rome, Italy

    Imma Subirats Coll

  3. Sapienza University of Rome , Rome, Italy

    Armando Stellato

  4. Drexel University, Philadelphia, Pennsylvania, USA

    Jane Greenberg

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Arioua, A., Buche, P., Croitoru, M. (2016). A \(\textit{Datalog}{\pm }\) Domain-Specific Durum Wheat Knowledge Base. In: Garoufallou, E., Subirats Coll, I., Stellato, A., Greenberg, J. (eds) Metadata and Semantics Research. MTSR 2016. Communications in Computer and Information Science, vol 672. Springer, Cham. https://doi.org/10.1007/978-3-319-49157-8_11

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  • DOI: https://doi.org/10.1007/978-3-319-49157-8_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49156-1

  • Online ISBN: 978-3-319-49157-8

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