loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.191.195.180

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 (IC3K 2019) - KEOD; ISBN 978-989-758-382-7; ISSN 2184-3228, SciTePress, 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 (IC3K 2019) - KEOD},
year={2019},
pages={383-389},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008351103830389},
isbn={978-989-758-382-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KEOD
TI - Axiom-based Probabilistic Description Logic
SN - 978-989-758-382-7
IS - 2184-3228
AU - Unold, M.
AU - Cruz, C.
PY - 2019
SP - 383
EP - 389
DO - 10.5220/0008351103830389
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic