On the Design of a Natural Logic System for Knowledge Bases

Troels Andreasen; Henrik Bulskov; Jørgen Fischer Nilsson

doi:10.1007/978-3-030-59491-6_39

On the Design of a Natural Logic System for Knowledge Bases

Troels Andreasen^*, Henrik Bulskov, Jørgen Fischer Nilsson

^*Corresponding author for this work

Department of Applied Mathematics and Computer Science

Roskilde University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Natural logics are logics that take form of stylized natural language sentences within a selected fragment of natural language. Natural Logics are at the same time formal logics with a well-defined syntax and semantics. Therefore, natural logics may be advanced as knowledge base logics enhancing explainability of query answers. This paper is concerned with a natural logic, NaturaLog, having been proposed as a deductive knowledge base language. The paper briefly reviews and brings together in compact form the main points in our previously but separately published design proposals, systems functionalities and implementation principles.

Original language	English
Title of host publication	Foundations of Intelligent Systems
Editors	Denis Helic, Martin Stettinger, Alexander Felfernig, Gerhard Leitner, Zbigniew W. Ras
Publisher	Springer
Publication date	2020
Pages	413-421
ISBN (Print)	9783030594909
DOIs	https://doi.org/10.1007/978-3-030-59491-6_39
Publication status	Published - 2020
Event	25^th International Symposium on Methodologies for Intelligent Systems - Graz, Austria Duration: 23 Sept 2020 → 25 Sept 2020 Conference number: 25

Conference

Conference	25^th International Symposium on Methodologies for Intelligent Systems
Number	25
Country/Territory	Austria
City	Graz
Period	23/09/2020 → 25/09/2020

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12117 LNAI
ISSN	0302-9743

Keywords

Deductive querying
Knowledge base systems
Life science applications
Natural logic

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10.1007/978-3-030-59491-6_39

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Andreasen, Troels ; Bulskov, Henrik ; Nilsson, Jørgen Fischer. / On the Design of a Natural Logic System for Knowledge Bases. Foundations of Intelligent Systems. editor / Denis Helic ; Martin Stettinger ; Alexander Felfernig ; Gerhard Leitner ; Zbigniew W. Ras. Springer, 2020. pp. 413-421 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12117 LNAI).

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Andreasen, T, Bulskov, H & Nilsson, JF 2020, On the Design of a Natural Logic System for Knowledge Bases. in D Helic, M Stettinger, A Felfernig, G Leitner & ZW Ras (eds), Foundations of Intelligent Systems. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12117 LNAI, pp. 413-421, 25^th International Symposium on Methodologies for Intelligent Systems, Graz, Austria, 23/09/2020. https://doi.org/10.1007/978-3-030-59491-6_39

On the Design of a Natural Logic System for Knowledge Bases. / Andreasen, Troels; Bulskov, Henrik; Nilsson, Jørgen Fischer.
Foundations of Intelligent Systems. ed. / Denis Helic; Martin Stettinger; Alexander Felfernig; Gerhard Leitner; Zbigniew W. Ras. Springer, 2020. p. 413-421 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12117 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Andreasen T, Bulskov H, Nilsson JF. On the Design of a Natural Logic System for Knowledge Bases. In Helic D, Stettinger M, Felfernig A, Leitner G, Ras ZW, editors, Foundations of Intelligent Systems. Springer. 2020. p. 413-421. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12117 LNAI). doi: 10.1007/978-3-030-59491-6_39

On the Design of a Natural Logic System for Knowledge Bases

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