Enabling semantic search in a news production environment

Authors:
Pedro Debevere;Davy Van Deursen;Dieter Van Rijsselbergen;Erik Mannens;Mike Matton;Robbie De Sutter;Rik Van de Walle
Affiliations:
Ghent University, IBBT, Multimedia Lab, Belgium;Ghent University, IBBT, Multimedia Lab, Belgium;Ghent University, IBBT, Multimedia Lab, Belgium;Ghent University, IBBT, Multimedia Lab, Belgium;VRT-medialab, Belgium;VRT-medialab, Belgium;Ghent University, IBBT, Multimedia Lab, Belgium
Venue:
SAMT'10 Proceedings of the 5th international conference on Semantic and digital media technologies
Year:
2010

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Abstract

News production is characterized by a complex and dynamic workflow, in which it is important to produce and broadcast reliable news as fast as possible. In this process, the efficient retrieval of previously broadcasted news items is important, both for gathering background information and for reuse of footage in new reports. This paper discusses how the quality of descriptive metadata of news items can be optimized, by collecting data generated during news production. Starting from a description of the news production process of the Flemish public service broadcaster in Belgium (VRT), information systems containing valuable metadata are identified. Subsequently, we present a data model that uniformly represents the available information generated during news production. This data model is then implemented using Semantic Web technologies. Further, we describe how other valuable data sets, present in the SemanticWeb, are connected to the data model, enabling semantic search operations.