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Integration of Web search with geographic information has recently attracted much attention. There are a number of local Web search systems enabling users to find location-specific Web content. In this paper, however, we point out that this integration is still at a superficial level. Most local Web search systems today only link local Web content to a map(More)
If the user wants to know trustworthiness of a proposition, such as whether the Japanese Prime Minister is Junichiro Koizumi is true or false, conventional search engines are not appropriate. We therefore propose a system that helps the user to determine trustworthiness of a statement that he or she is unconfident about. In our research, we estimate(More)
We have developed a system for helping users to determine the trustworthiness of uncertain facts based on sentiment and temporal viewpoints by aggregating information from the Web. Our goal is not to determine whether uncertain facts are true or false, but to provide users with additional data on which the trustworthiness of the information can be(More)
The cognitive significances of geographic objects play an important role in optimizing a set of place names presented on a map interface. The aim of this research is to assign a value for cognitive significance to each place name in GIS, based on regional documents collected from the Web. The assigned values could be used in GIS applications including(More)
Dealing with prepositions such as " near " , " between " , and " in front of " is very important in Geographic Information Systems (GISs). In most systems, real world distances are used to handle these prepositions. One of the difficulties in processing these prepositions lies in the fact that their geographical range are distorted in people's cognitive(More)
The prevalence of weblogs (blogs) has enabled people to share the personal experiences of tourists at specific locations and times. Such information was traditionally unavailable, except indirectly through local newspapers and periodicals. This paper describes a method of spatially and temporally obtaining specific experiences by extracting association(More)