Model of a Semantic Web Search Engine for Multimedia Content Retrieval

This paper presents the conceptual model of a semantic search engine that can locate required information on the web. This search engine makes use of semantics, or the meaning of queries, to retrieve relevant results. This model, called SCORDRA, is divided into four layers, namely semantic web, data, application and user interface layers. The SCORDRA engine makes use of the sharable content object reference model (SCORM) to bring together relevant data stored in the form of sharable content objects (SCOs). The Data Layer consists of data stored as SCO's. These SCO's are built on the SCORM standards, and their location is resolved by the content object repository discovery and registration/resolution architecture (CORDRA). SCORM defines how information is referenced and used, by packaging data with metadata. CORDRA aims to locate and reference SCORM repositories over the web. The application layer provides the reasoning platform of the system, it makes use of SCOs discovered by CORDRA by crawling and indexing the SCO's on the Web. The user interface layer allows the user to enter queries and view these as multimedia presentations. This semantic web search engine will allow the user to enter a query, and deliver a multimedia presentation that answers the query.