A framework to enable the semantic inferencing and querying of multimedia content
International Journal of Web Engineering and Technology
Cultural institutions, broadcasting companies, academic, scientific and defence organisations are producing vast quantities of digital multimedia content. With this growth in audiovisual material comes the need for standardised representations encapsulating the rich semantic meaning required to enable the automatic filtering, machine processing, interpretation and assimilation of multimedia resources. Additionally generating high-level descriptions is difficult and manual creation is expensive
... lthough significant progress has been made in recent years on automatic segmentation and low-level feature recognition for multimedia. Within this paper we describe the application of semantic web technologies to enable the generation of high-level, domain-specific, semantic descriptions of multimedia content from low-level, automatically-extracted features. By applying the knowledge reasoning capabilities provided by ontologies and inferencing rules to large, multimedia data sets generated by scientific research communities, we hope to expedite solutions to the complex scientific problems they face. Reference to this paper should be made as follows: Hunter, J. and Little, S. (2005) 'A framework to enable the semantic inferencing and querying of multimedia content ', Int. J. Web Engineering and Technology, Vol. 2, Nos. 2/3, Biographical notes: Jane Hunter is a Distinguished Research Fellow at the Distributed Systems Technology Cooperative Research Centre. For the past ten years she has been developing data models, ontologies, metadata standards (Dublin Core, MPEG-7, and MPEG-21), schemas, software tools, and query languages to enable the indexing, archival, analysis, integration and management of large multimedia collections. She is also the liaison between MPEG (Moving Pictures Experts Group) and the W3C. Suzanne Little is a PhD student at the School of Information Technology and Electrical Engineering at the University of Queensland. Her current research focus is the application of semantic web technologies to multimedia indexing and querying. She has an honours degree in information technology from the University of Queensland. 264 Int.