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http://dx.doi.org/10.22640/lxsiri.2018.48.2.109

Enrichment of POI information based on LBSNS  

Cho, Sung-Hwan (School of Economic, Political and Policy Science, University of Texas at Dallas)
Ga, Chil-O (Korea Land and Geospatial InformatiX Corporation)
Huh, Yong (LX Spatial Information Research Institute)
Publication Information
Journal of Cadastre & Land InformatiX / v.48, no.2, 2018 , pp. 109-119 More about this Journal
Abstract
Point of interest (POI) of the city is a special place that has what importance to the user. For example, it is such landmark, restaurants, museums, hotels, and theaters. Because of its role in the social and economic life of us, these have attracted a lot of interest in location-based applications such as social networks and online map. However, while it can easily be obtained through the Web, the basic information of POI such as geographic location, another effort is required to obtain detailed information such as Wi-Fi, accepting credit cards, opening hours, romper room and the assessment and evaluation of other users. To solve these problems, a new method for correcting position error is required to link location-based social network service (LBSNS) data and POIs. This paper attempts to propose a position error correction method of POI and LBSNS data to enrich POI information from the vast information that is accumulated in LBSNS. Through this study, we can overcome the limitation of individual POI information via the information fusion method of LBSNS and POI, and we have discovered the possibility to be able to provide additional information which users need. As a result, we expect to be able to collect a variety of POI information quickly.
Keywords
POI; Location Based Social Network Service; Information Enrichment; String Similarity;
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