Faceted classification in web information architecture A framework for using semantic web tools

摘要

Purpose - The purpose of this paper is to develop and implement a faceted classification structure to improve web information organization, access and navigability. Design/methodology/approach - Some case studies of commercial web sites using faceted metadata were analyzed to develop the classification approach. The proposed framework adapts the facet analysis theory from Faceted Classification System (FCS) to use semantic web tools especially XML and RDF store, and ontology, and is designed to be integrated within a Content Management System (CMS). A detailed example of a faceted classification system for an academic information system is used to demonstrate the construction of an FCS from metadata. Findings - Detailed examples show how classifying and organizing information in multidimensional hierarchies is more accessible than simple one-dimensional taxonomic hierarchies. Research limitations/implications - A prototype, based on the proposed framework, is being developed using the web site of an academic institution as a case study. Originality/value - Enhances the FCS research with a notion of integrating ontology driven faceted classification structures by XML/RDF language and content management tools. A dynamic approach to organizing and searching web information provides users with multiple ways of accessing information based on their knowledge and information needs.