ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 1. Vol. 28. 2022

DOI: 10.17587/it.28.43-47

I. N. Pozharkova, PhD, Associate Professor, FSBEI HE Siberian Fire and Rescue Academy EMERCOM of Russia, Zheleznogorsk, 662972, Krasnoyarsk region, Russian Federation

Context-Dependent Annotation Method in Emergency Monitoring Information Systems

The article presents the method of context-dependent annotations used in solving problems of emergency monitoring on the basis of information systems. The method is based on a spectral language model that allows solving various information search problems taking into account the specific features of the applied area. The functional model of emergency monitoring task in IDEF0 notation is presented. The task of context-dependent annotating operational summaries as a basis for generating preliminary reports is formulated. The main problems that arise in solving this problem on a large volume of initial data and can be critical in conditions of fast-developing emergencies are identified. The problem of context-dependent annotations in the conditions of existing restrictions was set, the main language units used in solving it are described. A flowchart of solving the problem of context-dependent annotating taking into account the specifics of the subject area is presented, and the implementation of each stage of this algorithm is described in detail. Described is a method of determining relevance of a text fragment to a target query based on a spectral language model. Basic assessments of annotation quality are described. A comparative analysis of the quality and speed of constructing annotations manually and on the basis of the presented method using assessory estimates was carried out. The effectiveness of the context-dependent annotation method in processing a large number of documents in conditions of fast-developing emergency situations requiring emergency decision-making is shown.
Keywords: context-dependent annotations, spectral language model, information system, emergency monitoring, relevance

P. 43–47

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