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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/370

Title: Pushing the Quality Level in Networked News Business: Semantic-Based Content Retrieval and Composition in International News Publishing
Authors: Schranz, Markus
Keywords: News Management
Semantic-based Content Coupling
News Distribution
Issue Date: 2008
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Serdica Journal of Computing, Vol. 2, No 1, (2008), 1p-18p
Abstract: Electronic publishing exploits numerous possibilities to present or exchange information and to communicate via most current media like the Internet. By utilizing modern Web technologies like Web Services, loosely coupled services, and peer-to-peer networks we describe the integration of an intelligent business news presentation and distribution network. Employing semantics technologies enables the coupling of multinational and multilingual business news data on a scalable international level and thus introduce a service quality that is not achieved by alternative technologies in the news distribution area so far. Architecturally, we identified the loose coupling of existing services as the most feasible way to address multinational and multilingual news presentation and distribution networks. Furthermore we semantically enrich multinational news contents by relating them using AI techniques like the Vector Space Model. Summarizing our experiences we describe the technical integration of semantics and communication technologies in order to create a modern international news network.
URI: http://hdl.handle.net/10525/370
ISSN: 1312-6555
Appears in Collections:Volume 2 Number 1

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