Abstract
This paper considers the problem of extraction and presenting geospatial information from natural language texts in a form that is convenient for human perception and analysis. The information technology for extraction and visualization of geo-data from natural language texts for the automatic construction of cartographic interfaces is proposed. For text analysis, we used syntactic, morphological and semantic methods. For visualization, we used existing geocoding services and geoservices. The paper also describes some projects for the development of transport logistics in the Arctic. Text descriptions of the “Integrated Development of the Murmansk Transport Hub” project, the “Belkomur” project and the “Northern latitudinal way” project were used to create thematic corpus of documents and approbation of technology. The result of the work of information technology is shown on the example of the “Integrated Development of the Murmansk Transport Hub” project. A brief assessment of the possible applications of the developed information technology is given.
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Acknowledgements
The reported study was partially funded by RFBR and Ministry of Education and Science of Murmansk region (project № 17-47-510298 p_a).
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Vicentiy, A.V., Dikovitsky, V.V., Shishaev, M.G. (2019). Automated Extraction and Visualization of Spatial Data Obtained by Analyzing Texts About Projects of Arctic Transport Logistics Development. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Intelligent Systems Applications in Software Engineering. CoMeSySo 2019 2019. Advances in Intelligent Systems and Computing, vol 1046. Springer, Cham. https://doi.org/10.1007/978-3-030-30329-7_37
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DOI: https://doi.org/10.1007/978-3-030-30329-7_37
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