Information support for decision making for planning activities in the Arctic and management of the Arctic territories of the Russian Federation using spatial information visualization tools is an important and urgent task. To effectively address this challenge, it is necessary to develop specialized information tools that focus on the analysis, processing, and visualization of large amounts of information to support decision-making. Such tools include methods and technologies for extracting spatial data from texts in natural language for their further visualization. This paper describes the first part of a large complex of research works aimed at creating methods, technologies, algorithms and software for visualization of spatial data extracted from texts in natural language. At this stage of the work the technology of geodata extraction from the Arctic texts written in Russian is being developed. The paper also substantiates the prospects of application of the created methods and tools to support decision making in the field of territory planning and regional management. The review of named entities recognition problems on the basis of the analysis of scientific works executed in various areas of processing and the analysis of texts is resulted. The main approaches to text analysis and the most significant results achieved so far in this area are considered. The technology developed by the authors to extract spatial data from texts to support decision-making in planning and management of territories is part of a larger system to support socio-economic development of the region. This system is primarily focused on the Arctic territories of the Russian Federation and includes modules for analysis and visualization of geodata identified in the text analysis. The paper describes the research problem, the methods and tools used for text analysis, as well as the main results.
The problem of monitoring and management of industrial and natural complexes in the Arctic is an important problem, without solving which the effective development of the Arctic zones of the Russian Federation is impossible. Specialized information systems are actively used to support decision-making on planning and managing various types of activities in the Arctic, as well as the socio-economic development of the Arctic territories of the Russian Federation. Spatial information visualization tools are an important part of such systems. Visual representation of data is one of the most convenient types of information representation for human processing. This paper describes a method of automated geoimage generation for decision support systems based on the analysis of natural language texts. The use of such geoimages reduces the complexity of decision making for the management tasks of spatially distributed bio-socio-economic systems of the region. The paper describes the formulation of the research problem, review of geocoding tools and services, the original technology of automated geoimages (digital maps) generation based on the use of cloud geoservices. Particular attention is paid to the problem of recognition of named entities in natural language text. The recognition results are used as input data for geocoding and geovisualization process. As a result of the method, the text is converted into a geoimage (map) which can be used to support decision-making by a decision maker. In the final part of the paper, plans for further work are described to develop the capabilities of the automated geoimage generation method for decision support systems based on the analysis of natural language texts.
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