loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Philippe Martin 1 and Jérémy Benard 2

Affiliations: 1 University of La Réunion and Griffith Uni., France ; 2 Logicells, France

Keyword(s): Language Ontology, Meta-Modelling, Syntactic Translation, Knowledge Representation Languages.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; MetaModeling ; Models ; Ontology Sharing and Reuse ; Paradigm Trends ; Software Engineering ; Symbolic Systems

Abstract: In its introduction, this article gives a short state of the art about ontologies of knowledge representation languages (KRLs) and the problems caused by i) the lack of relations between these ontologies, and ii) the lack of ontologies about notations (concrete syntaxes). For programmers, these are the difficulties of importing, exporting or translating between KRLs; for end-users, the difficulties of adapting, extending or mixing notations. To show how these problems can be solved, this article first shows how concepts of the main KRL standards can be aligned and organized. Then, it shows how this KRL model ontology can be re-used and completed by a notation ontology. Based on these two ontologies, KRLs models and notations - and thereby parsing and generation - can be specified in a concise way that even KRL end-users can adapt. The article gives representative examples. For these ontologies or specifications, a concise KRL notation is introduced and used. However, the presented ap proach is independent of any notation and model that has at least OWL-2 expressiveness. Thus, the results can easily be replicated. A Web address for the full specification of the two ontologies, and for a knowledge server to test or use them, is also given. (More)

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 3.92.1.156

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:
Martin, P. and Benard, J. (2014). An Ontology for Specifying and Parsing Knowledge Representations Structures and Notations. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2014) - KEOD; ISBN 978-989-758-049-9; ISSN 2184-3228, SciTePress, pages 96-107. DOI: 10.5220/0005082500960107

@conference{keod14,
author={Philippe Martin. and Jérémy Benard.},
title={An Ontology for Specifying and Parsing Knowledge Representations Structures and Notations},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2014) - KEOD},
year={2014},
pages={96-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005082500960107},
isbn={978-989-758-049-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2014) - KEOD
TI - An Ontology for Specifying and Parsing Knowledge Representations Structures and Notations
SN - 978-989-758-049-9
IS - 2184-3228
AU - Martin, P.
AU - Benard, J.
PY - 2014
SP - 96
EP - 107
DO - 10.5220/0005082500960107
PB - SciTePress