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Ontology Maintenance Through Semantic Text Mining: An Application for IT Governance Domain

Ontology Maintenance Through Semantic Text Mining: An Application for IT Governance Domain

Andrea Ko, Saira Gillani
Copyright: © 2018 |Pages: 22
ISBN13: 9781522550426|ISBN10: 1522550429|EISBN13: 9781522550433
DOI: 10.4018/978-1-5225-5042-6.ch013
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MLA

Ko, Andrea, and Saira Gillani. "Ontology Maintenance Through Semantic Text Mining: An Application for IT Governance Domain." Innovations, Developments, and Applications of Semantic Web and Information Systems, edited by Miltiadis D. Lytras, et al., IGI Global, 2018, pp. 350-371. https://doi.org/10.4018/978-1-5225-5042-6.ch013

APA

Ko, A. & Gillani, S. (2018). Ontology Maintenance Through Semantic Text Mining: An Application for IT Governance Domain. In M. Lytras, N. Aljohani, E. Damiani, & K. Chui (Eds.), Innovations, Developments, and Applications of Semantic Web and Information Systems (pp. 350-371). IGI Global. https://doi.org/10.4018/978-1-5225-5042-6.ch013

Chicago

Ko, Andrea, and Saira Gillani. "Ontology Maintenance Through Semantic Text Mining: An Application for IT Governance Domain." In Innovations, Developments, and Applications of Semantic Web and Information Systems, edited by Miltiadis D. Lytras, et al., 350-371. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5042-6.ch013

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Abstract

Manual ontology population and enrichment is a complex task that require professional experience involving a lot of efforts. The authors' paper deals with the challenges and possible solutions for semi-automatic ontology enrichment and population. ProMine has two main contributions; one is the semantic-based text mining approach for automatically identifying domain-specific knowledge elements; the other is the automatic categorization of these extracted knowledge elements by using Wiktionary. ProMine ontology enrichment solution was applied in IT audit domain of an e-learning system. After seven cycles of the application ProMine, the number of automatically identified new concepts are significantly increased and ProMine categorized new concepts with high precision and recall.

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