Fekade Getahun

Work place: Department of Computer Science, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia

E-mail: fekade.getahun@aau.edu.et


Research Interests: Computer systems and computational processes, Autonomic Computing, Distributed Computing, Computing Platform, Database Management System, Multimedia Information System, World Wide Web, Mathematics of Computing


Fekade Getahun has received his Ph. D. degree in Computer Science from University of Bourgogne at Dijon, France. He is serving as an Assistant Professor in Department of Computer Science at Addis Ababa University. His major research interest includes Sematic Web, Knowledge Management, AI, Cloud Computing, Content-based Retrieval, Web-based Similarity, Multimedia Database, E-Service Computing, Ontology-driven Systems, Emotion recognition, and Computer Vision.

Author Articles
Ontology-driven Intelligent IT Incident Management Model

By Bisrat Betru Fekade Getahun

DOI: https://doi.org/10.5815/ijitcs.2023.01.04, Pub. Date: 8 Feb. 2023

A significant number of Information Technology incidents are reported through email. To design and implement an intelligent incident management system, it is significant to automatically classify the reported incident to a given incident category. This requires the extraction of semantic content from the reported email text. In this research work, we have attempted to classify a reported incident to a given category based on its semantic content using ontology. We have developed an Incident Ontology that can serve as a knowledge base for the incident management system. We have also developed an automatic incident classifier that matches the semantical units of the incident report with concepts in the incident ontology. According to our evaluation, ontology-driven incident classification facilitates the process of Information Technology incident management in a better way since the model shows 100% recall, 66% precision, and 79% F1-Score for sample incident reports.

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