Papers

Peer-reviewed Last author
Oct, 2012

Multifaceted Analysis of News Articles by Using Semantic Annotated Information

Proceedings of the 5th International Workshop on Exploring Smantic Annotations in Information Retrieval (ESAIR), held as a part of the 21st ACM International Conference on Information and Knowledge Management (CIKM 2012), Maui, H
  • Masaharu Yoshioka
  • ,
  • Noriko Kando

First page
19
Last page
20
Language
English
Publishing type
Research paper (international conference proceedings)
DOI
10.1145/2390148.2390159
Publisher
ASSOC COMPUTING MACHINERY

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.

Link information
DOI
https://doi.org/10.1145/2390148.2390159
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000312604400010&DestApp=WOS_CPL
ID information
  • DOI : 10.1145/2390148.2390159
  • Web of Science ID : WOS:000312604400010

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