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A Decision Support System Based on Ontology Learning from PMI’ Project Risk Management

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Intelligent Systems Design and Applications (ISDA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1351))

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Abstract

In attempt to assist practitioners and researchers to better study the impacts of their decisions and evaluate the Project Risk (PR) as precisely as possible, we propose implementing an OWL Ontology-based Decision Support System with SWRL rules. The idea is to parse PMI’s standard for project risk management (i.e. document that embodies recommendations and PR knowledge) so as to enrich and exploit an existing PR domain ontology. The enrichment process is driven by the Ontology learning (OL) tasks. To reach this purpose, we first pre-process the unstructured text using Natural Language Processing tools (NLP) to extract the main concepts and properties. Then, we enrich the ontology not only by OWL DL axioms, but also with SWRL rules. These rules will infer recommendations aiming to provide a targeted answer for a risk-related request. Finally, to identify the similarity between terms and ontology concepts, levenshtein similarity measure is used along with word Net for the semantic matching. We have achieved the average F-measure of 0.74.

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Author information

Authors and Affiliations

  1. SMART Laboratory, Université de Tunis, ISG Tunis, 2000, Bardo, Tunisia

    Wiem Zaouga & Latifa Ben Arfa Rabai

  2. College of Business, University of Buraimi, Al Buraimi, P.C. 512, Sultanate, Oman

    Latifa Ben Arfa Rabai

Authors
  1. Wiem Zaouga
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  2. Latifa Ben Arfa Rabai
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Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Department of Computer Science, Università degli Studi di Milano, Milan, Milano, Italy

    Vincenzo Piuri

  3. Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  4. Campus Centre de Créteil, Université Paris-Est Créteil, Créteil, France

    Patrick Siarry

  5. Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

  6. School of Engineering, Instituto Superior de Engenharia do Porto, Porto, Portugal

    Ana Madureira

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Zaouga, W., Rabai, L.B.A. (2021). A Decision Support System Based on Ontology Learning from PMI’ Project Risk Management. In: Abraham, A., Piuri, V., Gandhi, N., Siarry, P., Kaklauskas, A., Madureira, A. (eds) Intelligent Systems Design and Applications. ISDA 2020. Advances in Intelligent Systems and Computing, vol 1351. Springer, Cham. https://doi.org/10.1007/978-3-030-71187-0_67

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