• Spatial Information Research
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• v.19 no.4
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• pp.91-97
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• 2011

In this paper, we propose an architecture for geosemantic services. With the rapid progress of web services, wireless internet technologies and popularization of smart phone in recent years, a lot of applications based on geographic information are being developed. Moreover the search portals empowered by semantic web technologies are enabling general users to access on-line resources more easily. However, several studies in GIS domain have pointed out the practical limitation of existing service patterns, which are limited only to linking heterogenous spatial databases, insufficient for several important use cases. Hence we draw functional elements of geosemantic services from GIS and semantic web standards, and present the use cases and a new architecture for geosemantic services. This approach could set a foundation to implement geoemantic services.

• Spatial Information Research
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• v.20 no.2
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• pp.129-136
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• 2012

Recently international organizations such as ISO/TC211, OGC, INSPIRE (Infrastructure for Spatial Information in Europe) make an effort to share geospatial data using semantic web technologies. In addition, smart phone and social networking services enable community-based opportunities for participants to share issues of a social phenomenon based on geographic area, and many researchers try to find a method of extracting issues from that. However, serviceable spatial ontologies are still insufficient at application level, and studies of spatial information extraction from SNS were focused on user's location finding or geocoding by text mining. Therefore, a study of extracting spatial phenomenon from social media information and converting it into geosemantic knowledge is very usable. In this paper, we propose a framework for extracting keywords from micro-blog, one of the social media services, finding their relationships using data mining technique, and converting it into spatiotemopral knowledge. The result of this study could be used for implementing a related system as a procedure and ontology model for constructing geoseem antic issue. And from this, it is expected to improve the effectiveness of finding, publishing and analysing spatial issues.