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A Smart Ontology for Project Risk Management Based on PMI’s Framework

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Proceedings of Fifth International Congress on Information and Communication Technology (ICICT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1183))

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Abstract

Whenever Project Risk (PR) exists, there is complexity. The difficulty to make concerned decisions related to Project Risk Management (PRM) increases project complexity and even its failure. In order to assist practitioners and professionals to better study the potential impacts of their decisions and assess the PR as precisely as possible, this chapter put forward an ontological approach based on OWL ontology with SWRl rules, that provides the project team clear guidelines to effectively manage PR, and then make the appropriate decisions based on the right recommendations. This approach takes advantages of ontology semantic strengths as it represents a unified PRM knowledge relying on PMI’s frameworks. As well, through SWRL reasoning rules, the proposed ontology generates recommendations by which a team member ask for risk-related request more targeted. The proposed ontological approach was evaluated, in term of content and structure, achieving promising results based on the F-measure metric.

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Correspondence to Wiem Zaouga .

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Zaouga, W., Rabai, L.B.A. (2021). A Smart Ontology for Project Risk Management Based on PMI’s Framework. In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Fifth International Congress on Information and Communication Technology. ICICT 2020. Advances in Intelligent Systems and Computing, vol 1183. Springer, Singapore. https://doi.org/10.1007/978-981-15-5856-6_21

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  • DOI: https://doi.org/10.1007/978-981-15-5856-6_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5855-9

  • Online ISBN: 978-981-15-5856-6

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