• DocumentCode
    1965858
  • Title

    A Semantic Web Methodology for Situation-Aware Curative Food Service Recommendation System

  • Author

    Lo, Chi-Chun ; Cheng, Ding-Yuan ; Chen, Chi-Hua

  • Author_Institution
    Inst. of Inf. Manage., Nat. Chiao-Tung Univ., Hsinchu
  • Volume
    4
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    444
  • Lastpage
    447
  • Abstract
    Recently curative food is becoming more popular, as more people realize its benefits. Based on the theory of Chinese medicine, food itself is medicine. The Curative food which is an ideal nutritious food can help to loss weight, increase immunity and is also good for curative effects in patients. In this paper, we propose a new curative food service (CFS) recommendation system, the designed Situation-aware Curative Food Service Recommendation System (SCFSRS), which provides the cooperation web-based platform for all related mobile users (MUs) and curative food service providers (CFSPs), could strengthen the ability of CFS suggestion. SCFSRS is a five-tier system composed of the MUs, UDDI registries (UDDIRs), CFSPs, curative food services server (CFSS), and database server (DS).
  • Keywords
    catering industry; file servers; information filtering; semantic Web; CFSP; Chinese medicine; UDDI registry; Web-based platform; curative food service providers; curative food services server; database server; five-tier system; mobile users; nutritious food; semantic Web methodology; situation-aware curative food service recommendation system; Databases; Decision support systems; Frequency; Health information management; Immune system; Network servers; Ontologies; Semantic Web; Service oriented architecture; Web server; Curative Food Service; Latent Semantic Analysis; Medical Ontology; Semantic Web; k-Nearest Neighbor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.519
  • Filename
    4722654