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SE-DiagEnf: An Ontology-Based Expert System for Cattle Disease Diagnosis

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Technologies and Innovation (CITI 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 883))

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Abstract

Cattle husbandry industry is an important development sector in many countries around the world. One of the main problems in this sector concerns cattle diseases which result in low productivity. A rapid diagnosis of the disease is particularly important for its prevention, control, and treatment. However, the main players on cattle husbandry industry highly depend on veterinarians to cope with this problem. Unfortunately, the number of veterinarians in some cities is very limited or they live far away from the farm. In this sense, it is necessary to provide farmers tools that help them to correctly diagnose the cattle diseases. Nowadays, there are technologies that can help to address this issue. On the one hand, expert systems are an active research area for medical diagnosis and recommending treatments. On the other hand, ontologies can be used for modeling the domain of cattle diseases diagnosis and for generating the knowledge base that is required by the expert system to perform its corresponding tasks. In this work, we present SE-DiagEnf, an ontology-based expert system that diagnoses cattle diseases based on a set of symptoms and provides recommendations for tackling the disease diagnosed. The main goal of this system is to decrease the dependency of farmers on veterinarians to cope with cattle diseases diagnosis and treatment. SE-DiagEnf was evaluated by farmers from Ecuador. In this evaluation, farmers had to provide a set of symptoms to allows the system to diagnose the cattle disease. The evaluation results seem promising based on the F-measure metric.

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Authors and Affiliations

  1. Computer Science Department, Faculty of Agricultural Sciences, Agrarian University of Ecuador, Av. 25 de Julio y Pio Jaramillo, P.O. BOX 09-04-100, Guayaquil, Ecuador

    Abel Alarcón-Salvatierra, William Bazán-Vera & Teresa Samaniego-Cobo

  2. Engineering in Networking and Telecommunications, Faculty of Mathematical and Physical Sciences, State University of Guayaquil, Av. Delta y Av. Kennedy, 471, Guayaquil, Ecuador

    Silvia Medina Anchundia & Pablo Alarcón-Salvatierra

Authors
  1. Abel Alarcón-Salvatierra
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  2. William Bazán-Vera
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  3. Teresa Samaniego-Cobo
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  4. Silvia Medina Anchundia
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  5. Pablo Alarcón-Salvatierra
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Corresponding author

Correspondence to Abel Alarcón-Salvatierra .

Editor information

Editors and Affiliations

  1. Facultad de Informática, Universidad de Murcia, Murcia, Spain

    Rafael Valencia-García

  2. Departamento de Filología Moderna, Universidad de Castilla la Mancha, Ciudad Real, Ciudad Real, Spain

    Gema Alcaraz-Mármol

  3. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Javier Del Cioppo-Morstadt

  4. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Néstor Vera-Lucio

  5. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Martha Bucaram-Leverone

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Alarcón-Salvatierra, A., Bazán-Vera, W., Samaniego-Cobo, T., Anchundia, S.M., Alarcón-Salvatierra, P. (2018). SE-DiagEnf: An Ontology-Based Expert System for Cattle Disease Diagnosis. In: Valencia-García, R., Alcaraz-Mármol, G., Del Cioppo-Morstadt, J., Vera-Lucio, N., Bucaram-Leverone, M. (eds) Technologies and Innovation. CITI 2018. Communications in Computer and Information Science, vol 883. Springer, Cham. https://doi.org/10.1007/978-3-030-00940-3_6

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  • DOI: https://doi.org/10.1007/978-3-030-00940-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00939-7

  • Online ISBN: 978-3-030-00940-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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