人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
原著論文
地理情報検索のためのスニペット生成法
戸田 浩之安田 宜仁奥村 学松浦 由美子片岡 良治
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2009 年 24 巻 6 号 p. 494-506

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Geographic information retrieval (GIR) aims at the retrieval of geographic-related documents based through the use of not only on keyword relevance but also on geographic relationships between the query and the geographic information in the texts. However, how to show search results in GIR has not been studied well, especially with regard to generating snippets that reflect the geographic part of the query. This paper proposes a novel snippet generation method. Our method first converts geographic phrases in the target text into geographic coordinates, then scores each of them according to their distance from the query using the coordinates. Next, it extracts fragments of the target text based on the distribution of the query keyword and geographic scores, and presents the combined fragments as a snippet. Evaluations are conducted with regard to two different aspects. Both attributes confirm the effectiveness of our method.

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© 2009 JSAI (The Japanese Society for Artificial Intelligence)
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