Framework of Nutrient Information by Using Facet Classification

Abstract

Effective information architecture (IA) is mapped to the structure of actual human systems. The IA of an information system must be hospitable to change as well. The representation of actual human knowledge is captured by taxonomic structures. A faceted classification system (FCS) which is essentially a multidimensional taxonomy. FCS can mimic more closely the structure of actual knowledge. Faceted classification is suitable for organizing digital information resources. Since a nutrient is a substance obtained from food and used in the body to promote growth, maintenance and repair of body tissues, everyone needs nutrient information. In this paper, nutrient information architecture is implemented by using facet classification. This paper provides search and browse for nutrient information retrieval and also supports query formation and expansion by browsing. In this paper, the system for nutrient information architecture is implemented based on XFML.