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Multi-Aspect User Ontology for Intelligent Decision Support Based on Digital Footprints

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Abstract

In this paper, we describe a multi-aspect user ontology that makes it possible to determine whether a decision maker belongs to a group of users with similar preferences and behaviors and to form a recommended decision using information about the preferences and behavior of this group. The ontology relies on the concept of intelligent decision support based on digital footprints of users and consists of three independent aspects: the user profile, the user segment, and the user’s digital life model, the integration of which into a single ontology is supported by its top level.

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Funding

The work was supported by the Russian Foundation for Basic Research, project no. 20-07-00455 in terms of developing a conceptual model of intelligent decision support based on a user’s life model in a digital environment and project no. 20-07-00490 in terms of developing a multi-aspect user ontology. The context-dependent user classification is a part of the research on context-oriented user behavior that was supported the budget topic no. 0073-2019-0005.

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Authors and Affiliations

  1. St. Petersburg Federal Research Center, Russian Academy of Sciences, 199178, St. Petersburg, Russia

    A. V. Smirnov & T. V. Levashova

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  1. A. V. Smirnov
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  2. T. V. Levashova
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Correspondence to T. V. Levashova.

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Translated by A. Ivanov

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Smirnov, A.V., Levashova, T.V. Multi-Aspect User Ontology for Intelligent Decision Support Based on Digital Footprints. Sci. Tech. Inf. Proc. 49, 486–496 (2022). https://doi.org/10.3103/S0147688222060119

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