Relation Based Knowledge Extraction for Animal Farm Management

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.

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Published
2024-08-29
DOI
https://doi.org/10.1109/is61756.2024.10705208
Primary Topic
Data Mining Algorithms and Applications
Type
article
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article

Relation Based Knowledge Extraction for Animal Farm Management

Yordanka Boneva, ALEXANDER E. GEGOV, Boriana Vatchova
Data Mining Algorithms and Applications
article

Relation Based Knowledge Extraction for Animal Farm Management

Yordanka Boneva, ALEXANDER E. GEGOV, Boriana Vatchova
article en

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.

Bulgarian Academy of Sciences (BG), Institute of Information and Communication Technologies (BG), University of Portsmouth (GB)
Zero hunger
Openalex Percentile: Top 73%
Data Mining Algorithms and Applications
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