Communications of the ACM - How the virtual inspires the real
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Visual Query Processing for GIS with Web Contents
Proceedings of the IFIP TC2/WG2.6 Sixth Working Conference on Visual Database Systems: Visual and Multimedia Information Management
Web Information Retrieval Based on the Localness Degree
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
A localness-filter for searched web pages
APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
Detecting geographic locations from web resources
Proceedings of the 2005 workshop on Geographic information retrieval
Hybrid index structures for location-based web search
Proceedings of the 14th ACM international conference on Information and knowledge management
Trustworthiness analysis of web search results
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
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As use of the World Wide Web (WWW) and mobile devices spreads and becomes more advanced, people are increasingly able to use mobile devices, such as cell phones, to access various kinds of local information through the Internet for use in daily activities. Conventional mobile information services focus on providing location information related to the user's current location. In contrast, we propose an information retrieval method that searches for 'local information' pertaining to a wider geographic region. In this paper, we consider local information to be the kind of information that is of interest only to users within certain regions or organizations. From this perspective, 'local information' differs from location information. Moreover, we are interested in searching for local information pertaining to a wider region (an area) that extends beyond a specific location (a place). Our local information retrieval method includes three stages: 1) searching for information using a query generated with user location data and keywords, 2) mapping the content coverage of searched Web pages onto the user's current region, and 3) ranking the regional information based on the notion of localness degree.