The process of operating large production systems is associated with the need to generate management decisions based on the analysis of the state of the system, represented by semistructured information. By semistructured information, within the framework of this work, we mean information in which a certain structure can be distinguished, however, this structure in advance is completely or partially unknown, or may change over time. The factographic data necessary for the generating of management decisions are represented by semistructured information located in various information resources such as electronic documents, databases, SCADA systems, etc. Thus, for the visualization of factual data in the processes of organizing the management of large production systems, the urgent tasks are: the implementation of incoming control for an array of factual data, their structuredness, implemented by means of a model, the possibility of their transformation, including convolution and aggregation, as well as various visualizations the same data on the according to requirements of a group of decision-makers. All of the above can be successfully implemented through the use of XML technologies, and SVG, which is a scalable vector graphics markup language, is suitable as a format for the resulting visualization. This format is intended for description of two-dimensional vector and mixed vector-raster graphics in XML format. A detailed description of the process of visualization of semistructured content, including four main stages, is considered, and a practical example of automated visualization of semistructured information of structural schemes of an APCS for a gas condensate field is given. As part of the work, the effectiveness of the proposed method for visualizing semistructured information was evaluated, which confirmed its effectiveness in the conditions of large production systems, when the number of uniform visualized structural elements can reach tens or more. The method of visualizing the semistructured content of large production systems makes it possible to automatically obtain its visual representation, which makes it possible to analyze expert information in the form of its graphical representation. The latter makes it possible to increase the speed of perception of factual data by 40…45 % and to minimize the time for updating the visualization when the factual data at the control object changes.