METHOD FOR REAL TIME PROCESSING OF OPEN DATA CONTAINING GEOCONTEXT MARKUP
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For citation: Zaslavskiy M.M., Blees E.I., Balandin S.I. Method for real time processing of open data containing geocontext markup. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2017, vol. 17, no. 5, pp. 850–858 (in Russian). doi: 10.17586/2226-1494-2017-17-5-850-858
The paper proposes solution for the problem of real time processing and analysis interface for Open Data containing geocontext markup inside location-based services (LBS) platform. Solution method is based on providing the ability to extend a platform by the addition that implements import and mapping of several Open Data sets. This addition also should perform calculation of additional data attributes and processing of set element by set statistical indicators and clustering methods. The plug-in for Geo2Tag LBS-platform was developed for the proposed method approval. The solution determines popularity of open WiFi hot spots with the use of VK social network data. The plug-in performs import and mapping of Saint Petersburg government Open Data set and VK posts archive related to particular city districts. The mapping is performed by calculation of additional data attribute related to posts distribution - median, arithmetical mean or cluster centers by k-means clustering method. For plug-in performance evaluation, a series of experiments was performed. Analysis of experiment results showed that plug-in work time firstly depends on Open Data downloading speed because the time of Open Data processing by plug-in is an order of magnitude less than the loading time. This fact demonstrates that plug-in can perform almost real-time analysis of remote Open Data source. Developed method can be applied not only for Geo2Tag LBS-platform but also for broad set of similar systems because the solution depends only on Open Data import subsystem implementation that can be implemented on any LBS-platform. The method also gives competitive advantage for LBS-platform because it gives the possibility to extend qualitative composition of platform data by imported Open Data analysis results wherein analysis methods can be defined not only by LBS-platform administrators but also by platform users who are also the developersdue to the fact that the method is based on user’s plug-in subsystems.
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