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Publications (17)
The article explores the potential and demonstrates the effectiveness of using some models and methods of ontological data analysis in the problem of structural analysis and synthesis of technical decisions. Morphological analysis and synthesis of layout diagrams of artifacts are considered as a working methodology for structural design. A set-theo...
В издание вошли статьи и доклады известного российского ученого доктора технических наук, профессора Владимира Андреевича Виттиха, посвященные становлению и развитию эвергетики - новой ценностно-ориентированной науки об управлении в человеческом обществе. Эвергетика В.А. Виттиха расширяет и дополняет существующий традиционный «системный» подход к у...
The research area is an extended methodology for the derivation of formal concepts from, as a rule, incomplete and inconsistent empirical data, which are the results of observations and multidimensional measurements in an unexplored, unstructured subject domain. This methodology, called "ontological data analysis", synthesizes two successful approa...
Two methodologies for formal concepts derivation are considered: the classical one, which focuses on the posterior analysis of the object’s properties of the studied knowledge domain, and non-classical, the cornerstone of which is the a priori formation of the set of measured object’s properties and the determination of existential relations on thi...
The research area of this article is data mining, specifically the direction "ontological data analysis" developed by the authors, which should be understood as the analysis of empirical data on an unexplored, unstructured knowledge domain in order to build its formal ontology. The research subject of this article is the formation of a set of prope...
Innovative development has universally valid social value and it is very important today. Its corresponding theoretical base is developing, but there is no clear understanding how innovations are generated and what their genesis is. The description of the life cycle of the creation, development and implementation of innovation usually begins with t...
The research field is the problem of extracting from the initial empirical material the formal concept lattice, which can serve as the basis of the formal ontology of the studied subject domain. The initial empirical material, i.e. the data of multidimensional observations and experiments, is characterized by incompleteness and inconsistency, condi...
An a priori knowledge is considered that establishes how the facts of detection some properties in empirically observed objects affect the presence of others. Taking into account such constraints of the existence of properties in the objects of the domain of interest is necessary for the correct formation of the contexts of the tasks of machine lea...
In this paper the principle of biconstituent information is considered as the unity of its "properties" and its "carrier" (for example, in optics knowledge about the reference and reflected rays is necessary for information extraction). In data analysis it is proposed to consider the measurement procedure as the "carrier" and the measured value as...
Formal Concept Analysis (FCA) is a rigorous mathematical theory in the “Data mining” research field. It advances the classical approach to the Concept as to a fundamental epistemic element which is determined by extent and intent. FCA is suitable for mining formal ontologies from the experimental data representing Domains of Interest (DI). In this...
The paper gives a brief overview of the subjective aspects of data formation and processing in Formal Concept Analysis. It is shown that the fun- damental cognitive scaling procedure that allows a different interpretation, in- troduces new information into the analysis and the analysis is not correct in the general case without paying the proper at...
The article presents models and methods of ontological data analysis aimed at identifying conceptual structure, or formal ontology, of the studied knowledge domain (KD). The realities of the accumulation of empirical data are reflected in model of generalized “object-properties” table and the incompleteness of this information implies the need for...
The article considers the problem of automating the formation of ontological specifications subject domains on the basis of measurements. This problem is the pivotal issue of ontological analysis. The article presents models and methods, aimed at identifying conceptual structure and, ultimately, detecting the formal ontology of the considered subje...
This paper investigates a formal approach which supports a critically significant step in object oriented analysis and software engineering. It is proposed to create an object class structure model based on an Ontological Data Analysis. Pragmatically important attributes and Ontological Data Analysis basic stages review is given.