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Authors: Martin Unold and Christophe Cruz

Affiliation: Laboratoire d’Informatique de Bourgogne, EA 7534, 9 Avenue Alain Savary, BP 47870, 21078 Dijon Cedex and France

ISBN: 978-989-758-382-7

ISSN: 2184-3228

Keyword(s): Probabilistic Description Logic, Uncertainty, Knowledge Base.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaboration and e-Services ; e-Business ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Semantic Web ; Soft Computing ; Symbolic Systems

Abstract: The paper proposes a new type of probabilistic description logics (p-DLs) with a different interpretation of uncertain knowledge. In both approaches (classical state of the art approaches and the approach of this paper), probability values are assigned to axioms in a knowledge base. While In classical p-DLs, the probability value of an axiom is interpreted as the probability of the axiom to be true in contrast to be false or unknown, the probability value in this approach is interpreted as the probability of an the axiom to be true in contrast to other axioms being true. The paper presents the theory of that novel approach and a method for the treatment of such data. The proposed description logic is evaluated with some sample knowledge bases and the results are discussed.

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Paper citation in several formats:
Unold, M. and Cruz, C. (2019). Axiom-based Probabilistic Description Logic.In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-382-7, ISSN 2184-3228, pages 383-389. DOI: 10.5220/0008351103830389

@conference{keod19,
author={Martin Unold. and Christophe Cruz.},
title={Axiom-based Probabilistic Description Logic},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2019},
pages={383-389},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008351103830389},
isbn={978-989-758-382-7},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Axiom-based Probabilistic Description Logic
SN - 978-989-758-382-7
AU - Unold, M.
AU - Cruz, C.
PY - 2019
SP - 383
EP - 389
DO - 10.5220/0008351103830389

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