A Natural Logic System for Large Knowledge Bases

Troels Andreasen, Henrik Bulskov, Jørgen Fischer Nilsson

Research output: Contribution to conferencePaperResearchpeer-review

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 languageEnglish
Publication dateJun 2020
Number of pages15
Publication statusPublished - Jun 2020
Event30th International Conference on Informaion Modeling and Knowledge Bases - Online, Hamburg, Germany
Duration: 8 Jun 20209 Jun 2020
Conference number: 30
https://ejc.informatik.haw-hamburg.de/

Conference

Conference30th International Conference on Informaion Modeling and Knowledge Bases
Number30
LocationOnline
Country/TerritoryGermany
CityHamburg
Period08/06/202009/06/2020
OtherDUE TO THE REGULATIONS REGARDING THE CORONAVIRUS PANDEMIC, EJC 2020 WILL BE TRANSFORMED INTO A VIRTUAL EVENT TAKING PLACE ON JUNE 8TH AND 9TH.
Internet address

Keywords

  • Deductive Querying
  • Large Logical Knowledge Bases
  • Natural Logic
  • Relational Data Base Operations

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