Semantic Web Representation for Phytochemical Ontology Model

Authors

  • M. Hamiz Fakulti Sains Komputer & Matematik, Universiti Teknologi MARA, Cawangan Melaka Kampus Jasin, Melaka, Malaysia.
  • Haryani Haron Fakulti Sains Komputer & Matematik, Universiti Teknologi MARA, Shah Alam, Malaysia.
  • Azlin Sanusi INTEC Education College, Shah Alam, Selangor, Malaysia.
  • M. Bakri Fakulti Sains Komputer & Matematik, Universiti Teknologi MARA, Cawangan Melaka Kampus Jasin, Melaka, Malaysia.
  • Nur Syamira Mohd Nazaruddin Fakulti Sains Komputer & Matematik, Universiti Teknologi MARA, Cawangan Melaka Kampus Jasin, Melaka, Malaysia.

Keywords:

Model, Ontology, Phytochemical, Semantic, Web,

Abstract

Nowadays people are more health conscious; they monitor the ingredients and nutrients of what they eat. Fruits and vegetables, which are rich of phytochemicals, are always chosen as a good diet. Phytochemicals are rich of nutrients and can give health benefits to the takers. Previous research has modelled the phytochemicals into its chemical structure and colours according to group of fruits and vegetables ontologically. However, there is no semantic web representation of that ontology model that makes the information more sharable among users. Therefore, in this paper, we develop a semantic web for phytochemical ontology model by linking the user interface to ontology model using JENA framework. The data from the ontology is read by using SPARQL query to display information to the front-end user. By having this semantic web representation, it is hoped that the knowledge is more accessible and shareable among intended users.

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Published

2018-02-05

How to Cite

Hamiz, M., Haron, H., Sanusi, A., Bakri, M., & Mohd Nazaruddin, N. S. (2018). Semantic Web Representation for Phytochemical Ontology Model. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-5), 183–186. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3652

Issue

Vol. 10 No. 1-5: Breakthrough To Excellence in Communication and Computer Engineering II

Section

Articles

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