A framework to enable the semantic inferencing and querying of multimedia content

  • Authors:

  • Jane Hunter;Suzanne Little

  • Affiliations:

  • Distributed Systems Technology Centre, University of Queensland, St Lucia, Queensland 4072, Australia.;ITEE Department, University of Queensland, St Lucia, Queensland 4072, Australia

  • Venue:
  • International Journal of Web Engineering and Technology
  • Year:
  • 2005

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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.