Querying Natural Logic Knowledge Bases

Troels Andreasen, Henrik Bulskov, Per Anker Jensen, Jørgen Fischer Nilsson

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 Harvard Style

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 - Volume 2: KEOD, ISBN 978-989-758-272-1, pages 294-301. DOI: 10.5220/0006574502940301


in Bibtex Style

@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 - Volume 2: KEOD,},
year={2017},
pages={294-301},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006574502940301},
isbn={978-989-758-272-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Querying Natural Logic Knowledge Bases
SN - 978-989-758-272-1
AU - Andreasen T.
AU - Bulskov H.
AU - Jensen P.
AU - Fischer Nilsson J.
PY - 2017
SP - 294
EP - 301
DO - 10.5220/0006574502940301