
Comparatory identification of taxonomy of automated control system in sea ports
Author(s) -
Alexander Aleksandrovich Zheleznyak,
V. A. Dorovskoy
Publication year - 2021
Publication title -
vestnik astrahanskogo gosudarstvennogo tehničeskogo universiteta. seriâ: morskaâ tehnika i tehnologiâ
Language(s) - English
Resource type - Journals
eISSN - 2225-0352
pISSN - 2073-1574
DOI - 10.24143/2073-1574-2021-1-88-92
Subject(s) - computer science , taxonomy (biology) , information retrieval , natural language processing , identification (biology) , artificial intelligence , categorization , hierarchical organization , botany , management , economics , biology
The article considers a corporate taxonomy concept as a hierarchical classification of organization or administration, a form of organizing data (documents, digital assets, etc.). There is given the idea of the corporate taxonomy of seaports, branched hierarchy of concepts, objects and subjects of ports, extracted from the hidden knowledge of unstructured textual information and studied for the classification of electronic documents and other sources of information. It has been stated that one of the highest forms of human intellectual activity is understanding and extracting semantic units with their organization into a hierarchical structure. The most convenient and effective method of indirect identification is the method of comparative identification, which deductively uses the basic provisions of the theory of intelligence. There are considered processes of data processing in organizational information systems, surjective imaging, where each element of the value domain has at least one prototype. A system of logical equations showing the regularities of signal processing is given. The logical scheme of using the method of comparative identification for extracting non-obvious knowledge is illustrated. To compile the corporate taxonomy it is necessary to identify classes of conditional equivalence (in addition to classes of unconditional equivalence) that contain groups of close semantic units and have common features that will be grouped into one taxon. The descriptors of lexical units are presented. It has been inferred that the method of comparative identification used to create the corporate taxonomy allows to move from the subjective perception of meanings to the objective relationship between the documents in the automated system of seaports and the semantic units represented by keywords, headings, etc.