Universiti Teknologi Malaysia Institutional Repository

Context-aware ontology for dengue surveillance

Mohd. Zuki, Siti Zulaikha and Mohamad, Radziah and Sa’adon, Nor Azizah (2020) Context-aware ontology for dengue surveillance. In: 4th International Conference of Reliable Information and Communication Technology, IRICT 2019, 22 September 2019 through 23 September 2019, Johor Bahru, Malaysia.

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Official URL: http://dx.doi.org/10.1007/978-3-030-33582-3_17

Abstract

Ovitrap survey is one of dengue surveillance techniques employed by Ministry of Health Malaysia to identify current rate of vector population in a selected area. Result obtained from this activity is used to determine suitable control method to eradicate vector in the said area. This research study proposes a context-aware ontology that provides foundation of dengue surveillance system based on Ovitrap survey procedures exercised in Malaysia to assist ento-mologies on data analysis and decision-making. Ontology concepts are derived following guidelines provided by METHONTOLOGY methodology. The sub-activities of Ovitrap survey are categorized into two and formed two main concepts, which are field activities and lab activities. The other two main concepts represent instruments required to carry out Ovitrap survey and context information for the ontology. Context-awareness in ontology allows information flow and sharing between these main concepts. Result obtained could be used as support when requesting deployment of vector control activities. An entomologist expert validated the information flow of the proposed ontology while the ontology quality is measured following ontology quality metric suite. Accurate and correct representation of dengue surveillance activity via ontology could assist entomologist to carry out Ovitrap survey faster and easier.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:context-aware, dengue surveillance, ontology, ovitrap survey
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:89716
Deposited By: Yanti Mohd Shah
Deposited On:22 Feb 2021 14:09
Last Modified:22 Feb 2021 18:04

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