An Environmental Semantic Search-Space Creation Method for News-Article Search Systems with Context-Oriented Interpretations

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.