Adaptivni Sistemi Avtomatičnogo Upravlinnâ (May 2023)
Data recognition in documents and classification algorithm
Abstract
The object of the study is the process of transferring state public services into electronic form, which is associated with the need to transfer from a document-based service model to a data-based service model. When modeling state public services, a common data model for describing public services offered in administration is being used. This model is based on the use of "Core Vocabularies" that are necessary for the classification of data and entities related to this subject area. Thus, the article considers the actual task of analyzing documents to recognize data that should be classified using "Core Vocabularies". To solve the stated problem, an algorithm has been developed that allows recognizing the data contained in documents based on document analysis. The data set associated with the document formed as a result of the analysis is classified using "Core Vocabularies" at the second stage of the algorithm. When creating the algorithm, the results of the analysis of research in data recognition and classification were taken into account. The article discusses an illustrative example and presents the results of data classification for the "Core Person Vocabulary". The practical worth of the developed algorithm is that it is being used in the algorithmic software developed for an information system for recognizing and classifying data in documents, which makes it possible to transfer to a new model of data-based representation of public services. The use of an information system for recognizing and classifying data in documents is of high importance in the processes of reengineering state public services, creating new public services, and transferring public services to electronic form. This leads to drastic increase in the efficiency of the state public service system. Ref. 5, pic. 4, tabl. 1
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