Semantically enhanced case adaptation for dietary menu recommendation of diabetic patients

Norlia Mohd Yusof, Shahrul Azman Mohd Noah

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

2 Citations (Scopus)

Abstract

Dietary menu planning for diabetic patients is a complicated tasks involving specific and common-sense knowledge. Case-based approach has been used to provide recommendation in the case where ratings were not easily available for domains such as menu planning. Among the important but yet difficult tasks in the case-based approach is case adaptation. To successfully support case adaptation, the constraint-based approach and food composition ontology were employed. Constraints knowledge were represented as production rules and exploits the food ontology to support adaptation. An ontological approach is also proposed to perform the inference process to satisfy the multiple design constraints.

Original languageEnglish
Title of host publicationSemantic Technology - 7th Joint International Conference, JIST 2017, Proceedings
PublisherSpringer Verlag
Pages318-333
Number of pages16
Volume10675 LNCS
ISBN (Print)9783319706818
DOIs
Publication statusPublished - 1 Jan 2017
Event7th Joint International Conference on Semantic Technology, JIST 2017 - Gold Coast, Australia
Duration: 10 Nov 201712 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10675 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th Joint International Conference on Semantic Technology, JIST 2017
CountryAustralia
CityGold Coast
Period10/11/1712/11/17

Fingerprint

Ontology
Recommendations
Planning
Production Rules
Chemical analysis
Knowledge
Design

Keywords

  • Case adaptation
  • Dietary menu planning
  • Knowledge-Based recommendation
  • Ontology

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Yusof, N. M., & Mohd Noah, S. A. (2017). Semantically enhanced case adaptation for dietary menu recommendation of diabetic patients. In Semantic Technology - 7th Joint International Conference, JIST 2017, Proceedings (Vol. 10675 LNCS, pp. 318-333). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10675 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-70682-5_22

Semantically enhanced case adaptation for dietary menu recommendation of diabetic patients. / Yusof, Norlia Mohd; Mohd Noah, Shahrul Azman.

Semantic Technology - 7th Joint International Conference, JIST 2017, Proceedings. Vol. 10675 LNCS Springer Verlag, 2017. p. 318-333 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10675 LNCS).

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

Yusof, NM & Mohd Noah, SA 2017, Semantically enhanced case adaptation for dietary menu recommendation of diabetic patients. in Semantic Technology - 7th Joint International Conference, JIST 2017, Proceedings. vol. 10675 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10675 LNCS, Springer Verlag, pp. 318-333, 7th Joint International Conference on Semantic Technology, JIST 2017, Gold Coast, Australia, 10/11/17. https://doi.org/10.1007/978-3-319-70682-5_22
Yusof NM, Mohd Noah SA. Semantically enhanced case adaptation for dietary menu recommendation of diabetic patients. In Semantic Technology - 7th Joint International Conference, JIST 2017, Proceedings. Vol. 10675 LNCS. Springer Verlag. 2017. p. 318-333. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-70682-5_22
Yusof, Norlia Mohd ; Mohd Noah, Shahrul Azman. / Semantically enhanced case adaptation for dietary menu recommendation of diabetic patients. Semantic Technology - 7th Joint International Conference, JIST 2017, Proceedings. Vol. 10675 LNCS Springer Verlag, 2017. pp. 318-333 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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