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Incremental Ontology Population and Enrichment through Semantic-based Text Mining: An Application for IT Audit Domain

Author

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  • Saira Gillani

    (Corvinus University of Budapest, Budapest, Hungary)

  • Andrea Ko

    (Corvinus University of Budapest, Budapest, Hungary)

Abstract

Higher education and professional trainings often apply innovative e-learning systems, where ontologies are used for structuring domain knowledge. To provide up-to-date knowledge for the students, ontology has to be maintained regularly. It is especially true for IT audit and security domain, because technology is changing fast. However 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 ten cycles of the application ProMine, the number of automatically identified new concepts are tripled and ProMine categorized new concepts with high precision and recall.

Suggested Citation

  • Saira Gillani & Andrea Ko, 2015. "Incremental Ontology Population and Enrichment through Semantic-based Text Mining: An Application for IT Audit Domain," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 11(3), pages 44-66, July.
    • Handle: RePEc:igg:jswis0:v:11:y:2015:i:3:p:44-66
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    Cited by:

    1. Andrea Ko & Saira Gillani, 2020. "A Research Review and Taxonomy Development for Decision Support and Business Analytics Using Semantic Text Mining," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 97-126, January.

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