文章基本信息

标题：Snippet Generation for Geographic Information Retrieval
本地全文：下载
作者：Hiroyuki TODA ; Norihito YASUDA ; Manabu OKUMURA 等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2009
卷号：24
期号：6
页码：494-506
DOI：10.1527/tjsai.24.494
出版社：The Japanese Society for Artificial Intelligence
摘要：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.
关键词：geographic information retrieval ; summarization ; snippet