Abstract
The paper considers the problem of constructing domain models based on a semantic network. One of the faced difficulties is to support the indication of objects that form the semantic network, while displaying the dynamics of the domain; this indication assumes the possibility of dynamic creating, modifying, and deleting objects. In this case the indication of objects is possible both by name and by position in the semantic network, as well as by the set of properties of the object. It shows that the set of indication methods required for modeling essentially coincides with the set required for controlling access to objects of the network; this makes it possible to consider the indication of objects and access control as two aspects of one task. The solution of the problem can be achieved based on using the technique of displaced concepts and description methods to indicate objects and access to them as specialization of concept bias. The paper generates requirements to the methods of objects indication and proposes an environment that provides modeling of various methods of indication based on the support of methods for modeling the shift of concepts in an applicative computing system. It describes a prototyped implementation of the environment by the method of extending an applicative system. The implementation was tested on the tasks of describing dynamic domains to support the introduction of the best available technologies.
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Notes
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Louise G. White, Political Analysis, 2nd ed. Pacific Grove, California: Brooks Cole, 1990.
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Acknowledgments
This research is supported in part by the Russian Foundation for Basic Research, RFBR grants 19-07-00326-a, 19-07-00420-a, 18-07-01082-a, 17-07-00893-a.
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Ismailova, L., Kosikov, S., Zinchenko, K., Wolfengagen, V. (2020). Environment of Modeling Methods for Indicating Objects Based on Displaced Concepts. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2019. BICA 2019. Advances in Intelligent Systems and Computing, vol 948. Springer, Cham. https://doi.org/10.1007/978-3-030-25719-4_18
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