Transdisciplinary consolidation of information invironments

DOI: 10 . 31673/2412-9070.2021.010310

Abstract

The paper discusses an ontological approach to solving the problem of integrated use of Big Data through transdisciplinary semantic consolidation of information resources. The category of taxonomy is considered as a constructive for the formation of consolidated information, taking into account its semantics. The formation of a hyperset of taxonomies — taxonomic diversity — implements the consolidation of information resources, defined as a verbal-active function of interpreting a set of binary relations between all contexts reflecting the meanings of concepts that form the content of subject areas, whose information resources are involved in network interaction. The category of information consolidation, as a taxonomic diversity of information resources, is characterized by the existence of verbally active reflection and recursion. The concept of discourse is defined as the inter-contextual connectivity of network information resources, which is represented by verbal-active reflection, on the basis of which taxonomic diversity is realized. For consolidated network information, the format of narrative discourse is determined. The concept of an arbitrary taxonomy is defined as a term, which makes it possible to implement the process of forming taxonomies based on the use of sets of λ-terms. The topology of interaction of taxonomy concepts sets is represented as a set of marked Böhm trees. An example of the formation of the information resources consolidation in the study of historical and cultural heritage with the display of museum expositions in the format of 3D panoramas is given. An algorithm for the consolidation of 3D models of heritage conservation objects with network GIS services and network information resources is given.

Keywords: taxonomy; ontology; transdisciplinarity; consolidation; reflection; recursion; information resources; systems; processes.

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