Enabling Semantic Search in a News Production Environment
Identifieur interne : 000483 ( Main/Exploration ); précédent : 000482; suivant : 000484Enabling Semantic Search in a News Production Environment
Auteurs : Pedro Debevere [Belgique] ; Davy Van Deursen [Belgique] ; Dieter Van Rijsselbergen [Belgique] ; Erik Mannens [Belgique] ; Mike Matton [Belgique] ; Robbie De Sutter [Belgique] ; Rik Van De Walle [Belgique]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
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 Semantic Web, are connected to the data model, enabling semantic search operations.
Url:
DOI: 10.1007/978-3-642-23017-2_3
Affiliations:
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IBBT</wicri:regionArea><wicri:noRegion>Ghent University - IBBT</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Belgique</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2011</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">F35CE4155F61C36532B4077A536076390381925C</idno><idno type="DOI">10.1007/978-3-642-23017-2_3</idno><idno type="ChapterID">3</idno><idno type="ChapterID">Chap3</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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. 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