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Conference paper

A natural logic system for large knowledge bases

From

Roskilde University1

Department of Applied Mathematics and Computer Science, Technical University of Denmark2

Algorithms and Logic, Department of Applied Mathematics and Computer Science, Technical University of Denmark3

This paper describes principles and structure for a software system that implements a dialect of natural logic for knowledge bases. Natural logics are formal logics that resemble stylized natural language fragments, and whose reasoning rules reflect common-sense reasoning. Natural logics may be seen as forms of extended syllogistic logic.

The paper proposes and describes realization of deductive querying functionalities using a previously specified natural logic dialect called NaturaLog. In focus here is the engineering of an inference engine employing as a key feature relational database operations. Thereby the inference steps are subjected to computation in bulk for scaling-up to large knowledge bases.

Accordingly, the system eventually is to be realized as a general-purpose database application package with the database being turned logical knowledge base.

Language: English
Publisher: IOS Press BV
Year: 2020
Pages: 119-133
Proceedings: 30th International conference on Information Modeling and Knowledge Bases
Series: Frontiers in Artificial Intelligence and Applications
ISBN: 1643681400 , 1643681419 , 9781643681405 and 9781643681412
ISSN: 18798314 and 09226389
Types: Conference paper
DOI: 10.3233/FAIA200824
ORCIDs: Fischer Nilsson, Jørgen

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