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題名 A chronic disease dietary consultation system using OWL-based ontologies and semantic rules.
作者 Chi, Yu-Liang
Chen, Tsang-Yao
蔡宛庭
Tsai, Wan-Ting
貢獻者 資管博四
關鍵詞 Chronic kidney diseases; Dietary control; Ontology; Problem solving; Semantic rules
日期 2005-02
上傳時間 10-Sep-2018 10:50:46 (UTC+8)
摘要 Chronic diseases patients often require constant dietary control that involves complicated interaction among factors such as the illness stage, the patient`s physical condition, the patient`s activity level, the amount of food intake, and key nutrient restrictions. This study aims to integrate multiple knowledge sources for problem solving modeling and knowledge-based system (KBS) development. A chronic kidney disease dietary consultation system is constructed by using Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL) to demonstrate how a KBS approach can achieve sound problem solving modeling and effective knowledge inference. For system evaluation, information from 84 case patients is used to evaluate the performance of the system in recommending appropriate food serving amounts from different food groups for balanced key nutrient ingestion. The results show that, excluding interference factors, the OWL-based KBS can achieve accurate problem solving reasoning while maintaining knowledge base shareability and extensibility.
關聯 Journal of Biomedical Informatics, Vol.53, pp.208-219
資料類型 article
DOI https://doi.org/10.1016/j.jbi.2014.11.001
dc.contributor 資管博四
dc.creator (作者) Chi, Yu-Liangen_US
dc.creator (作者) Chen, Tsang-Yaoen_US
dc.creator (作者) 蔡宛庭zh_TW
dc.creator (作者) Tsai, Wan-Tingen_US
dc.date (日期) 2005-02
dc.date.accessioned 10-Sep-2018 10:50:46 (UTC+8)-
dc.date.available 10-Sep-2018 10:50:46 (UTC+8)-
dc.date.issued (上傳時間) 10-Sep-2018 10:50:46 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/120054-
dc.description.abstract (摘要) Chronic diseases patients often require constant dietary control that involves complicated interaction among factors such as the illness stage, the patient`s physical condition, the patient`s activity level, the amount of food intake, and key nutrient restrictions. This study aims to integrate multiple knowledge sources for problem solving modeling and knowledge-based system (KBS) development. A chronic kidney disease dietary consultation system is constructed by using Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL) to demonstrate how a KBS approach can achieve sound problem solving modeling and effective knowledge inference. For system evaluation, information from 84 case patients is used to evaluate the performance of the system in recommending appropriate food serving amounts from different food groups for balanced key nutrient ingestion. The results show that, excluding interference factors, the OWL-based KBS can achieve accurate problem solving reasoning while maintaining knowledge base shareability and extensibility.en_US
dc.format.extent 2185152 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Journal of Biomedical Informatics, Vol.53, pp.208-219
dc.subject (關鍵詞) Chronic kidney diseases; Dietary control; Ontology; Problem solving; Semantic rulesen_US
dc.title (題名) A chronic disease dietary consultation system using OWL-based ontologies and semantic rules.en_US
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1016/j.jbi.2014.11.001
dc.doi.uri (DOI) https://doi.org/10.1016/j.jbi.2014.11.001