An environmental semantic search-space creation method for news-article search systems with context-oriented interpretations

Hanako Fujioka, Shiori Sasaki, Toshihiro Watanabe, Kyohei Otsuka, Masayuki Ishii, Yasushi Kiyoki

研究成果: Conference contribution

抄録

Metadata space creation for semantic associative search is an essential process for semantic searching for news article. We apply semantic computing methodology to realize an Environmental-News-Article Search System with Context-Oriented Interpretations. This paper presents a method for creating an environmental-news-article metadata space for applying semantic computing to environmental news-resources. Our creation process for realizing an environmental-news-article semantic space is (1)select news article regarding environment from news-resources, (2)extract news article that have keyword-tag 'Global Warming' or 'Warming' and set them as news article of 'Global Warming,' (3)obtain all keyword-tag that news article of 'Global Warming' have, (4)Count appearance frequency of each keyword-tag in news article of 'Global Warming' and determine frequency thresholds of keyword-tag for composing metadata space, (5)create the environmental-news-article metadata space using the keyword-tag creamed off. We compared between several experiments with changed search phenomenon or search context for semantic associative search, and we made certain that our Environmental-News-Article Search System extracts the metadata space properly depending on the context and retrieves phenomena and documents semantically close to the search phenomenon or the search context. Our evaluation shows the effectiveness of the method for creating an environmental-news-article metadata space for applying semantic computing to environmental news-resources.

本文言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXX
編集者Tatiana Endrjukaite, Hannu Jaakkola, Alexander Dudko, Yasushi Kiyoki, Bernhard Thalheim, Naofumi Yoshida
出版社IOS Press
ページ478-494
ページ数17
ISBN(電子版)9781614999324
DOI
出版ステータスPublished - 2019

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
312
ISSN(印刷版)0922-6389

ASJC Scopus subject areas

  • Artificial Intelligence

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