An Ontology-Based Information Extraction System for Organic Farming

Adebayo Adewumi Abayomi-Alli, Oluwasefunmi 'Tale Arogundade, Sanjay Misra, Mulkah Opeyemi Akala, Abiodun Motunrayo Ikotun and Bolanle Adefowoke Ojokoh
Additional contact information
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

International Journal on Semantic Web and Information Systems (IJSWIS), 2021, vol. 17, issue 2, 79-99

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.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJSWIS.2021040105 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jswis0:v:17:y:2021:i:2:p:79-99

Access Statistics for this article

International Journal on Semantic Web and Information Systems (IJSWIS) is currently edited by Brij Gupta

More articles in International Journal on Semantic Web and Information Systems (IJSWIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().