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A Spatial-temporal POI Data Model for Implementing Location-based Services
Author(s) -
Junho Park,
Hye-Young Kang,
Jiyeong Lee
Publication year - 2016
Publication title -
journal of the korean society of surveying geodesy photogrammetry and cartography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.182
H-Index - 9
eISSN - 2288-260X
pISSN - 1598-4850
DOI - 10.7848/ksgpc.2016.34.6.609
Subject(s) - computer science , point of interest , expression (computer science) , location based service , scheme (mathematics) , service (business) , data model (gis) , linkage (software) , point (geometry) , data mining , service model , data science , artificial intelligence , telecommunications , mathematical analysis , biochemistry , chemistry , geometry , mathematics , economy , economics , gene , programming language
Since demand for location-based services increases and the relevant service becomes more diverse, the use of POI (Point of Interest) is being required in various fields. Various roles of POI for display, search and inquiry exist, but the implementation and expression of such roles are partially limited. Therefore, the data model for implementation is suggested in this paper to enable practical implementation, expression and inquiry of POI data. The data model was developed based on 3 roles of POI including search, expression and linkage, and especially, the spatial relationship between POI objects which was not suggested in previous data models is considered and time series scheme is suggested to enable various expressions and inquiries in application services.

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