Relation based knowledge extraction for animal farm management

Boriana Vatchova*, Yordanka Boneva, Alexander Gegov

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

This paper presents an application of a knowledge extraction method developed by the authors to animal farm management. The main purpose of the paper is to process information on the relationships between profits and costs in livestock farming. The paper uses expert knowledge as a benchmark approach for knowledge extraction and a fuzzy method for comparative validation. The academic novelty in the paper is the first-time application of the relation based knowledge extraction method to livestock farming.
Original languageEnglish
Title of host publicationProceedings of 2024 IEEE 12th International Conference on Intelligent Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9798350350982
ISBN (Print)9798350350999
DOIs
Publication statusPublished - 9 Oct 2024
Event12th IEEE International Conference on Intelligent Systems - Varna, Bulgaria
Duration: 29 Aug 202431 Aug 2024

Publication series

Name2024 IEEE 12th International Conference on Intelligent Systems (IS)
PublisherIEEE
ISSN (Print)2832-4145
ISSN (Electronic)2767-9802

Conference

Conference12th IEEE International Conference on Intelligent Systems
Country/TerritoryBulgaria
CityVarna
Period29/08/2431/08/24

Keywords

  • expert knowledge
  • knowledge extraction
  • relations
  • fuzzy sets
  • information processing
  • livestock farming

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