Pushing the Quality Level in Networked News Business: Semantic-Based Content Retrieval and Composition in International News Publishing


Autoria(s): Schranz, Markus
Data(s)

18/09/2009

18/09/2009

2008

Resumo

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.

Identificador

Serdica Journal of Computing, Vol. 2, No 1, (2008), 1p-18p

1312-6555

http://hdl.handle.net/10525/370

Idioma(s)

en

Publicador

Institute of Mathematics and Informatics Bulgarian Academy of Sciences

Palavras-Chave #News Management #Semantic-based Content Coupling #News Distribution
Tipo

Article