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An Ontology-Based Information Extraction System for Organic Farming

Author

Listed:
  • Adebayo Adewumi Abayomi-Alli

    (Federal University of Agriculture, Abeokuta, Nigeria)

  • Oluwasefunmi 'Tale Arogundade

    (Federal University of Agriculture, Abeokuta, Nigeria)

  • Sanjay Misra

    (Atilim University, Ankara, Turkey & Covenant University, Ota, Nigeria)

  • Mulkah Opeyemi Akala

    (Federal University of Agriculture, Abeokuta, Nigeria)

  • Abiodun Motunrayo Ikotun

    (Yaba College of Technology, Lagos, Nigeria)

  • Bolanle Adefowoke Ojokoh

    (Federal University of Technology, Akure, Nigeria)

Abstract

In the existing farming system, information is obtained manually, and most times, farmers act based on their discretion. Sometimes, farmers rely on information from experts and extension officers for decision making. In recent times, a lot of information systems are available with relevant information on organic farming practices; however, such information is scattered in different context, form, and media all over the internet, making their retrieval difficult. The use of ontology with the aid of a conceptual scheme makes the comprehensive and detailed formalization of any subject domain possible. This study is aimed at acquiring, storing, and providing organic farming-based information available to current and intending software developer who may wish to develop applications for farmers. It employs information extraction (IE) and ontology development techniques to develop an ontology-based information extraction (OBIE) system called ontology-based information extraction system for organic farming (OBIESOF). The knowledge base was built using protégé editor; Java was used for the implementation of the ontology knowledge base with the aid of the high-level application programming language for working web ontology language application program interface (OWL API). In contrast, HermiT was used to checking the consistencies of the ontology and for submitting queries in order to verify their validity. The queries were expressed in description logic (DL) query language. The authors tested the capability of the ontology to respond to user queries by posing instances of the competency questions from DL query interface. The answers generated by the ontology were promising and serve as positive pointers to its usefulness as a knowledge repository.

Suggested Citation

  • Adebayo Adewumi Abayomi-Alli & Oluwasefunmi 'Tale Arogundade & Sanjay Misra & Mulkah Opeyemi Akala & Abiodun Motunrayo Ikotun & Bolanle Adefowoke Ojokoh, 2021. "An Ontology-Based Information Extraction System for Organic Farming," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 17(2), pages 79-99, April.
  • Handle: RePEc:igg:jswis0:v:17:y:2021:i:2:p:79-99
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    Cited by:

    1. Jean Vincent Fonou-Dombeu & Nadia Naidoo & Micara Ramnanan & Rachan Gowda & Sahil Ramkaran Lawton, 2021. "OntoCSA: A Climate-Smart Agriculture Ontology," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 12(4), pages 1-20, October.
    2. Taheri, Fatemeh & D'Haese, Marijke & Fiems, Dieter & Azadi, Hossein, 2022. "The intentions of agricultural professionals towards diffusing wireless sensor networks: Application of technology acceptance model in Southwest Iran," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    3. Nicola Capuano & Pasquale Foggia & Luca Greco & Pierluigi Ritrovato, 2022. "A Semantic Framework Supporting Multilayer Networks Analysis for Rare Diseases," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 18(1), pages 1-22, January.
    4. Bikram Pratim Bhuyan & Ravi Tomar & Amar Ramdane Cherif, 2022. "A Systematic Review of Knowledge Representation Techniques in Smart Agriculture (Urban)," Sustainability, MDPI, vol. 14(22), pages 1-36, November.
    5. Xin Zhang & Shaohua Kuang, 2023. "A Lightweight Method of Knowledge Graph Convolution Network for Collaborative Filtering," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 19(1), pages 1-21, January.

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