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Authors: Troels Andreasen 1 ; Henrik Bulskov 1 ; Per Anker Jensen 2 and Jørgen Fischer Nilsson 3

Affiliations: 1 Roskilde University, Denmark ; 2 Copenhagen Business School, Denmark ; 3 Technical University of Denmark, Denmark

Keyword(s): From Natural Language to Natural Logic, Formal Ontologies, Deductive Querying of Natural-logic Knowledge Bases, Path finding in Knowledge Bases, Logical Knowledge bases in Bio-informatics and Medicine.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Natural Language Processing ; Pattern Recognition ; Symbolic Systems

Abstract: This paper describes the principles of a system applying natural logic as a knowledge base language. Natural logics are regimented fragments of natural language employing high level inference rules. We advocate the use of natural logic for knowledge bases dealing with querying of classes in ontologies and class-relationships such as are common in life-science descriptions. The paper adopts a version of natural logic with recursive restrictive clauses such as relative clauses and adnominal prepositional phrases. It includes passive as well as active voice sentences. We outline a prototype for partial translation of natural language into natural logic, featuring further querying and conceptual path finding in natural logic knowledge bases.

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Paper citation in several formats:
Andreasen, T.; Bulskov, H.; Jensen, P. and Fischer Nilsson, J. (2017). Querying Natural Logic Knowledge Bases. In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2017) - KEOD; ISBN 978-989-758-272-1; ISSN 2184-3228, SciTePress, pages 294-301. DOI: 10.5220/0006574502940301

@conference{keod17,
author={Troels Andreasen. and Henrik Bulskov. and Per Anker Jensen. and Jørgen {Fischer Nilsson}.},
title={Querying Natural Logic Knowledge Bases},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2017) - KEOD},
year={2017},
pages={294-301},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006574502940301},
isbn={978-989-758-272-1},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2017) - KEOD
TI - Querying Natural Logic Knowledge Bases
SN - 978-989-758-272-1
IS - 2184-3228
AU - Andreasen, T.
AU - Bulskov, H.
AU - Jensen, P.
AU - Fischer Nilsson, J.
PY - 2017
SP - 294
EP - 301
DO - 10.5220/0006574502940301
PB - SciTePress

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