An Ontological Approach to Constraint-Based Design Case Adaptation

Norlia Yusof (1), Shahrul Azman Noah (2), Samirah Taufiq Wahid (3)
(1) Knowledge Technology Group, Centre of Artificial Intelligence Technology, Faculty of Information Science and Technology, University of Kebangsaan Malaysia, 43600 Bangi, Malaysia
(2) Knowledge Technology Group, Centre of Artificial Intelligence Technology, Faculty of Information Science and Technology, University of Kebangsaan Malaysia, 43600 Bangi, Malaysia
(3) School of Health Care Sciences, Faculty of Health Sciences, University of Kebangsaan Malaysia, Jalan Raja Tun Muda Abdul Aziz, 50300 Kuala Lumpur, Malaysia
Fulltext View | Download
How to cite (IJASEIT) :
Yusof, Norlia, et al. “An Ontological Approach to Constraint-Based Design Case Adaptation”. International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 1, Feb. 2017, pp. 168-75, doi:10.18517/ijaseit.7.1.1674.
Designing tasks in case-based reasoning requires for the use of case adaptation due to its novelty characteristic. In this paper, constraint satisfaction is used to generate potential solutions for design case adaptation. An ontological approach is proposed to perform the inference process to satisfy the multiple design constraints. Domain application is the dietary menu planning for diabetics. Results show that the dietary menu planning designed by the proposed approach is better than the conventional approach. Both the physical and aesthetic constraints were satisfied by the proposed approach.

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
    2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
    3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).