DOI: 10.7256/2585-7797.2019.2.28612

Abstract: Information technology of geochronological tracking in history is a combination of processes which accumulate and integrate data about geographic relocation of historical figures for a given time interval and present the results as a generalizing graph in GIS. Hypotheses on stable migration trends are sub-graphs of this graph. To test such trends is to search and evaluate statistical significance of isomorphism (structural similarity) of corresponding graphs. Rationalization of algorithm is achieved by means of a reasonably chosen basic method searching for isomorphic embedding into geochronotrack graph basis. The basic methodological approach is a combination of representative and analytical methods of modern geoinformatics and graph theory. Full-featured development of computer interpretation of graph theory methods based on geochronological tracking provides for new quality of historical studies using modern GIS-tools. Namely, a researcher can use quantitative methods of a corresponding logical-analytical apparatus. The article addresses qualitatively new possibilities of such an approach and a corresponding algorithmic apparatus. .

DOI: 10.7256/2585-7797.2017.2.23083

Abstract: The article addresses logical and functional features of an applied geochronological tracking information technology. From the viewpoint of its applied aspect, this information technology is scientific methodological and program tools to automatize certain historical issues related to biographical and geographical data merge on the basis of geoinformation systems and corresponding geoinformation technologies. It is an example of a specific information technology developed to help historians employing geographical interpretation of their subject domain when solving research problems. The methodology bases on the object-oriented approach to modeling within GIS domains and ontologies widely used in modern programming and complex software systems development. The novelty of the solution proposed is the principles of biographical and geographical data integration for humanities. The article studies qualitatively new opportunities provided by such a GIS tool as software application of geochronological tracking which it acquires in the process of its development.