Authors: Jane Hunter, Suzanne Little
Addresses: Distributed Systems Technology Centre, University of Queensland, St Lucia, Queensland 4072, Australia. ' ITEE Department, University of Queensland, St Lucia, Queensland 4072, Australia
Abstract: 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 although 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.
Keywords: images; scientific research; semantic inferencing; semantic querying; multimedia content; semantic web; knowledge reasoning; ontologies; nanotechnology; interoperability; metadata standards; XML; inferencing rules; fuel cells; microscopy.
International Journal of Web Engineering and Technology, 2005 Vol.2 No.2/3, pp.264 - 286
Published online: 22 Dec 2005 *Full-text access for editors Access for subscribers Purchase this article Comment on this article