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.