Abstract
AbstractAn important goal of a content management system (CMS) is to acquire and organise content from different data sources in order to answer intelligently any ad-hoc requests from users as well as from peer systems. Existing commercial CMSs address this issue by deploying structured metadata (e.g. XML) to categorise content and produce search indices. Unfortunately, these metadata are not expressive enough to represent content for sophisticated searching. This paper presents an open architecture framework and a Java-based reference implementation for Ontology-enabled Content Management System. The reference implementation uses an open-source CMS called OpenCMS, the Protégé’s OWL library, and RacerPro reasoning engine. The implemented system is a web-based management system for learning objects which were derived from the course and instructional materials used in several postgraduate taught courses. We believe that our OeCMS architecture and implementation would provide a strong platform for developing semantic web protals in general.KeywordsContent ManagementCore LayerOpen ArchitectureOntology LanguageContent Management SystemThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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