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.
Authors
- Yordanka Boneva (ORCID: https://orcid.org/0000-0003-4192-128X)
- ALEXANDER E. GEGOV (ORCID: https://orcid.org/0000-0002-6166-296X)
- Boriana Vatchova (ORCID: https://orcid.org/0000-0002-2073-7670)
Institutions
- Bulgarian Academy of Sciences (BG)
- Institute of Information and Communication Technologies (BG)
- University of Portsmouth (GB)
Publication Details
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1109/is61756.2024.10705208
- Primary Topic
- Data Mining Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00