An Application of NLP and Audiovisual Content Analysis for Integration of Multimodal Databases of Current Events

Authors:
Alberto Messina
Affiliations:
Dip. di Informatica, Università degli Studi di Torino, Torino, Italy I-10149
Venue:
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Year:
2008

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Abstract

The nowadays explosion of pervasive services based on the Internet makes information about current events easy and rapidly available to any user. A critical point is concerned with the possibility for the users to have a comprehensive, trustworthy and multi-source informative dossiers on their events of interest. This paper presents a completely unsupervised architecture for the automatic detection and integration of informative sources about current events based on natural language processing and audiovisual content analysis. The system provides a multimodal RSS feed integrating both audiovisual and textual contributions.