Publication: Superimposing semantic mesh to prevent information processes entanglement
Дата
2020
Авторы
Kosikov, S.
Dohrn, J.
Wolfengagen, V.
Ismailova, L.
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© 2020 The Authors. Published by Elsevier B.V.In this paper, we study the problems of extracting concepts from data and introduce the notion of deviation of concepts. A wireframe model structure is established in the form of a semantic mesh, which allows you to control deviation by establishing the spectrum of possible hops on the way to achieving the generic concepts. The use of scaling to reflect the dynamics of information processes that represent data is shown. By varying the degree of generality of the scales used, the desired level of abstracting the semantic mesh is achieved. A representative example of a stepwise transition from a specific individual semantic mesh based on using the content of a subject area to an abstract semantic mesh that controls general information processes is constructed. The resulting conceptual model supports a scaled conceptual dependency on the generic and derived concepts. To map on a generalized semantic mesh with nodes in the form of variable domains, a mapper-adapter is required.
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Superimposing semantic mesh to prevent information processes entanglement / Kosikov, S. [et al.] // Procedia Computer Science. - 2020. - 169. - P. 645-651. - 10.1016/j.procs.2020.02.197