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Landmarks play crucial roles in human geographic knowledge. There has been much work focusing on the extraction of landmarks from geographic information systems (GIS) or 3D city models. The extraction of landmarks from digital documents, however, has not been fully explored. The World Wide Web provides a rich source of region related information based on(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)
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)
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 maps. For(More)
If there exists a mismatch between the way people use prepositional phrases and a computer embedded algorithm that handles those phrases, users cannot get proper results for their queries. This causes serious problems in decision making processes. In this paper, such problems are discussed for the case of Geographical Information Systems (GISs). In order to(More)
This paper proposes a method to improve the precison of Web retrieval based on proximity and density of keywords for two-keyword queries. In addition, filtering keywords by semantic relationships also be used. We have implemented a system that re-ranks Web search results based on three measures: first-appearance term distance, minimum term distance, and(More)
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)
Mobile Web search engines as well as fixed ones become much more important for our Web access in the near future. However, mobile computing environments have troublesome limitations, as compared with traditional desktop computing environments. In order to solve the so-called "mismatched query problem" due to more shortness and ambiguity of mobile users'(More)