Semantic Link Network Portal for Multimedia Content Recommendation

Recently, Web-based news publishing is evolving fast, as many other Internet services, and nowadays this service is trying to adapt information in manners that better fit user's interests and capabilities in the digital space. In this paper, we propose a semantic link network portal for multimedia content recommendation. The portal is based on Semantic Link Network technologies and attempts to build up a multimedia repository that makes the media house more productive. The goal of the portal is to integrate different kinds of content in semantic link network through semantically annotated audio transcriptions, and other media metadata. In particular, it provides user interface that allows user to interact with and recommend content in an efficient and effective way.