Paper Info
Title
Enabling semantic search in a news production environment
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.
Year
DOI
Venue
2010
10.1007/978-3-642-23017-2_3
SAMT
Keywords
Field
DocType
information system,valuable data set,news item,broadcasted news item,background information,available information,reliable news,news production,data model,news production process,semantic search,news production environment
Information system,Broadcasting,Data mining,Metadata,World Wide Web,News aggregator,Information retrieval,Semantic search,Computer science,Semantic Web,Data model,Workflow
Conference
Citations 
PageRank 
References 
2
0.47
12
Authors
7
Name
Order
Citations
PageRank
Pedro Debevere1586.36
Davy Van Deursen222528.22
Dieter Van Rijsselbergen3365.34
Erik Mannens467199.58
Mike Matton5164.18
Robbie De Sutter6519.29
Rik Van de Walle72040238.28