Abstract
Recently, a demand for a spatial information service as well as spatial data model that can manage spatial objects effectively has increased rapidly with the emergence and proliferation of the smart societies due to the introduction and diffusion of Ubiquitous, Intelligent Transport Systems (ITSs), Telematics and Location-based Systems (LBSs). Various spatial data models have been proposed to meet the demand. However, most of these models have some problems such as the construction of exceptional functions, inefficient data management and limited availability. Digital map 2.0, a tile-based data model, which is very popular in South Korea, suffers from the aforementioned problems. This paper tackles the limitations of tile-based digital maps by suggesting a data model for Object-based seamless maps. In essence, the proposed data model can be easily implemented (constructed) and applied to a variety of application domains by constructing object-based data model build on the Digital map 2.0. The proposed model was applied to a real world application scenario as a verification of the model’s applicability to various systems and application domains.
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Acknowledgements
This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program(NIPA-2014-H0301-14-1022) supervised by the NIPA(National IT Industry Promotion Agency) and the National Research Foundation of Korea(NRF) grant funded by the Korea government(MEST) (No. 2008-0062611) and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (No.2013R1A2A2A01068923).
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Kim, H., Park, H.W., Cho, W., Paik, I., Ryu, K.H. (2014). A Data Model for Object-Based Seamless Digital Map Using Digital Map 2.0. In: Chen, Y., et al. Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science(), vol 8597. Springer, Cham. https://doi.org/10.1007/978-3-319-11538-2_33
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DOI: https://doi.org/10.1007/978-3-319-11538-2_33
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