Abstract
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.
Original language | English |
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Title of host publication | Information Modelling and Knowledge Bases XXXII |
Editors | Marina Tropmann-Frick, Bernhard Thalheim, Hannu Jaakkola, Yasushi Kiyoki, Naofumi Yoshida |
Publisher | IOS Press BV |
Publication date | 16 Dec 2020 |
Pages | 119-133 |
ISBN (Electronic) | 9781643681405 |
DOIs | |
Publication status | Published - 16 Dec 2020 |
Event | 30th International conference on Information Modeling and Knowledge Bases - Virtual, Online, Germany Duration: 8 Jun 2020 → 9 Jun 2020 Conference number: 30 |
Conference
Conference | 30th International conference on Information Modeling and Knowledge Bases |
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Number | 30 |
Country/Territory | Germany |
City | Virtual, Online |
Period | 08/06/2020 → 09/06/2020 |
Series | Frontiers in Artificial Intelligence and Applications |
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Volume | 333 |
ISSN | 0922-6389 |
Bibliographical note
Publisher Copyright:© 2021 The authors and IOS Press.
Keywords
- Deductive Querying
- Large Logical Knowledge Bases
- Natural Logic
- Relational Data Base Operations