Ontology based Framework for News Extraction in Visual Media

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Ontology based Framework for News Extraction in Visual Media

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Title: Ontology based Framework for News Extraction in Visual Media
Author: Santhosh Kumar, G; Shine, George K; Jagathy Raj, V P
Abstract: Anticipating the increase in video information in future, archiving of news is an important activity in the visual media industry. When the volume of archives increases, it will be difficult for journalists to find the appropriate content using current search tools. This paper provides the details of the study we conducted about the news extraction systems used in different news channels in Kerala. Semantic web technologies can be used effectively since news archiving share many of the characteristics and problems of WWW. Since visual news archives of different media resources follow different metadata standards, interoperability between the resources is also an issue. World Wide Web Consortium has proposed a draft for an ontology framework for media resource which addresses the intercompatiblity issues. In this paper, the w3c proposed framework and its drawbacks is also discussed
Description: 2012 International Conference on Data Science & Engineering (ICDSE)
URI: http://dyuthi.cusat.ac.in/purl/4164
Date: 2012


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