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Authors: Troels Andreasen 1 and Jørgen Fischer Nilsson 2

Affiliations: 1 Roskilde University, Denmark ; 2 Technical University of Denmark, Denmark

Keyword(s): Ontological Engineering, Natural Language Processing, Natural Logic, Domain Modeling.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Data Engineering ; Domain Analysis and Modeling ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Natural Language Processing ; Ontologies and the Semantic Web ; Ontology Engineering ; Pattern Recognition ; Symbolic Systems

Abstract: We argue in favour of adopting a form of natural logic for ontology-structured knowledge bases as an alternative to description logic and rule based languages. Natural logic is a form of logic resembling natural language assertions, unlike description logic. This is essential e.g. in life sciences, where the large and evolving knowledge specifications should be directly accessible to domain experts. Moreover, natural logic comes with intuitive inference rules. The considered version of natural logic leans toward the closed world assumption (CWA) unlike the open world assumption with classical negation in description logic. We embed the natural logic in DATALOG clauses which is to take care of the computational inference in connection with querying.

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Paper citation in several formats:
Andreasen, T. and Fischer Nilsson, J. (2014). A Case for Embedded Natural Logic for Ontological Knowledge Bases. 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 423-427. DOI: 10.5220/0005156504230427

@conference{keod14,
author={Troels Andreasen. and Jørgen {Fischer Nilsson}.},
title={A Case for Embedded Natural Logic for Ontological Knowledge Bases},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2014) - KEOD},
year={2014},
pages={423-427},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005156504230427},
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 - A Case for Embedded Natural Logic for Ontological Knowledge Bases
SN - 978-989-758-049-9
IS - 2184-3228
AU - Andreasen, T.
AU - Fischer Nilsson, J.
PY - 2014
SP - 423
EP - 427
DO - 10.5220/0005156504230427
PB - SciTePress

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