Ontology-based decision support system architecture for tendering management

Rosmayati Mohemad, Abdul Razak Hamdan, Zulaiha Ali Othman, Noor Maizura Mohamad Noor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Tendering management is a large and fragmented process implemented in various industries such as construction, logistics, pharmaceutical, and commerce. Tendering process is vital for a governing body that intends to acquire any goods or services from third parties for ensuring fair and transparent competition. Current electronic tender management does not have the necessary capabilities to automatically extract unstructured information on the tender document and hence, requires the decision maker to examine the information contained on the document one by one. In addition, the isolated tendering process leads to the ineffective communication between different stakeholders such as owners/clients, consultants, and contractors/suppliers to share and reuse information especially during decision-making. The increasing inconsistent and semantic heterogeneity information for the decision-making process requires the need to represent knowledge in a uniform format that is understandable to both humans and computers. Thus, the ontology-based decision support system architecture for tendering management is proposed to support information extraction and decision-making process. A prototype of ontology-based decision support system is developed using the case study of the construction tender evaluation process.

Original languageEnglish
Title of host publicationFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
Pages189-200
Number of pages12
Volume261
ISBN (Print)9781614993988
DOIs
Publication statusPublished - 2014

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume261
ISSN (Print)09226389

Fingerprint

Decision support systems
Ontology
Decision making
Contractors
Drug products
Logistics
Semantics
Communication
Industry

Keywords

  • Decision Support System
  • Ontology
  • Tendering

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Mohemad, R., Hamdan, A. R., Ali Othman, Z., & Mohamad Noor, N. M. (2014). Ontology-based decision support system architecture for tendering management. In Frontiers in Artificial Intelligence and Applications (Vol. 261, pp. 189-200). (Frontiers in Artificial Intelligence and Applications; Vol. 261). IOS Press. https://doi.org/10.3233/978-1-61499-399-5-189

Ontology-based decision support system architecture for tendering management. / Mohemad, Rosmayati; Hamdan, Abdul Razak; Ali Othman, Zulaiha; Mohamad Noor, Noor Maizura.

Frontiers in Artificial Intelligence and Applications. Vol. 261 IOS Press, 2014. p. 189-200 (Frontiers in Artificial Intelligence and Applications; Vol. 261).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohemad, R, Hamdan, AR, Ali Othman, Z & Mohamad Noor, NM 2014, Ontology-based decision support system architecture for tendering management. in Frontiers in Artificial Intelligence and Applications. vol. 261, Frontiers in Artificial Intelligence and Applications, vol. 261, IOS Press, pp. 189-200. https://doi.org/10.3233/978-1-61499-399-5-189
Mohemad R, Hamdan AR, Ali Othman Z, Mohamad Noor NM. Ontology-based decision support system architecture for tendering management. In Frontiers in Artificial Intelligence and Applications. Vol. 261. IOS Press. 2014. p. 189-200. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-399-5-189
Mohemad, Rosmayati ; Hamdan, Abdul Razak ; Ali Othman, Zulaiha ; Mohamad Noor, Noor Maizura. / Ontology-based decision support system architecture for tendering management. Frontiers in Artificial Intelligence and Applications. Vol. 261 IOS Press, 2014. pp. 189-200 (Frontiers in Artificial Intelligence and Applications).
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