doi: 10.17586/2226-1494-2016-16-5-816-822


M. M. Zaslavskiy, S. I. Balandin

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Article in Russian

For citation: Zaslavskiy M.M., Balandin S.I. Method of open data import and processing in LBS-platform. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2016, vol. 16, no. 5, pp. 816–822. doi: 10.17586/2226-1494-2016-16-5-816-822


The paper proposes solution for the problem of Open Data integration and geocontext markup in LBS-platform. Solution method is based on providing unified platform-level interfaces for executing modular and reusable Open Data import instruments. The method was implemented as an extension for the popular Geo2Tag LBS-platform. The solution gives the possibility to satisfy developer requirements for import subsystem: import performance is on the same level as a typical client requests to platform and import objects are accessible using platform data manipulation interfaces. Sources or executable files of import instruments can be published in an open access for the other LBS-platform users that enables to reuse of these instruments and combine them into libraries. Plugin for Open Data import from "Open Karelia" (museum overlay of Geo2Tag) was implemented as a practical application of proposed method. The paper also contains description of load testing of the method implementation which demonstrated that import plugin provides high performance level in case of the parallel tasks number less or equal to the number of processor cores. Further increase of parallel tasks leads to significant decrease of performance, which still keeps predictable enough. Proposed method is applicable for the wide range of LBS-platforms because it has no reference to any specific LBS-platform features. Solution makes it possible to reach significant competitive advantage for LBS platform and its services because the method overcomes «cold start» problem for LBS. It is achieved by the use of Open Data as an initial content for LBS.

Keywords: Location-Based Services, Geo2Tag, LBS-platforms, Open Data

Acknowledgements. The work is supported by the Government of the Russian Federation (grant 074-U01).


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