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http://dx.doi.org/10.12672/ksis.2012.20.2.129

A Technique for Extracting GeoSemantic Knowledge from Micro-blog  

Ha, Su-Wook (충북대학교 데이터베이스연구실, 한국전자통신연구원)
Nam, Kwang-Woo (군산대학교 컴퓨터정보공학과)
Ryu, Keun-Ho (충북대학교 소프트웨어학과)
Publication Information
Spatial Information Research / v.20, no.2, 2012 , pp. 129-136 More about this Journal
Abstract
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.
Keywords
Spatiotemporal GIS; GeoSemantics; Micro-blog; SNS; Data Mining;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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