Title
A Framework For Automatic Combination Of Media Contents By Minimising Information Redundancy. Case: Integrated Publishing In Multimedia Networks
Abstract
Information redundancy becomes a crucial problem in the Web when contents from different resources are automatically combined to produce a new WWW-publication. Information retrieval, natural language processing and the latest WWW-activities offer a challenging framework to approach the information redundancy problem of automatically combined news articles. It seems reasonable, that minimising information redundancy should be performed by a hybrid technique that combines some elements of these approaches. The purpose of this exploratory study is to introduce a theoretical and practical framework for clarifying the information redundancy problem in the case of integrated publishing.
Year
Venue
Keywords
2001
ELECTRONIC PUBLISHING '01, CONFERENCE PROCEEDINGS: 2001 IN THE DIGITAL PUBLISHING ODYSSEY
natural language processing,exploratory study
Field
DocType
Citations 
World Wide Web,Computer science,Information redundancy,Filter (signal processing),Newspaper,Redundancy (engineering),Publishing,Exploratory research,Multimedia,The Internet
Conference
0
PageRank 
References 
Authors
0.34
26
5