Multifaceted analysis of news articles by using semantic annotated information

Authors:
Masaharu Yoshioka;Noriko Kando
Affiliations:
Hokkaido University, Sapporo-shi, Japan;National Institute of Informatics, Tokyo, Japan
Venue:
Proceedings of the fifth workshop on Exploiting semantic annotations in information retrieval
Year:
2012

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Abstract

We propose a novel framework that enables multifaceted analysis of news articles. This system uses semantic annotated information (e.g., person, place) as facets and can be used to construct structured queries for comparing the differences between sets of articles.