A scalable framework for multimedia knowledge management

Authors:
Yves Raimond;Samer A. Abdallah;Mark Sandler;Mounia Lalmas
Affiliations:
Centre for Digital Music, Queen Mary, University of London;Centre for Digital Music, Queen Mary, University of London;Centre for Digital Music, Queen Mary, University of London;Department of Computer Science, Queen Mary, University of London
Venue:
SAMT'06 Proceedings of the First international conference on Semantic and Digital Media Technologies
Year:
2006

Citing 6
Cited 1

XSB as an efficient deductive database engine

SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
A relational model of data for large shared data banks

Communications of the ACM
Evaluating ontological decisions with OntoClean

Communications of the ACM - Ontology: different ways of representing the same concept
Toward Behavioral Intelligence in the Semantic Web

Computer
Modularisation of domain ontologies implemented in description logics and related formalisms including OWL

Proceedings of the 2nd international conference on Knowledge capture
The event calculus explained

Artificial intelligence today

A distributed data space for music-related information

Workshop on multimedia information retrieval on The many faces of multimedia semantics

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we describe a knowledge management framework that addresses the needs of multimedia analysis projects and provides a basis for information retrieval systems. The framework uses Semantic Web technologies to provide a shared knowledge environment, and active Knowledge Machines, wrapping multimedia processing tools, to exploit and/or export knowledge to this environment. This framework is able to handle a wide range of use cases, from an enhanced workspace for researchers to end-user information access. As an illustration of how the proposed framework can be used, we present a case study of music analysis.