Logical inference mechanism in situational awareness systems

Date

2017-12-23

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Publisher

Видавництво Львівської політехніки
Lviv Polytechnic Publishing House

Abstract

In the article are described problems related to creation and maintenance of situational awareness systems. An approach based on situational knowledge representation with ontological models is selected for attaining situational awareness in complex intelligent enterprise systems, where objects can be in several situations in the same time and some situations are defined imprecisely. Granular computing approach is used for reduction of situational knowledge management complexity.

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Keywords

situation assessment, situational awareness, ontology, logical inference, granular computing

Citation

Mykich K. Logical inference mechanism in situational awareness systems / Khrystyna Mykich, Eugene Burov // Litteris et Artibus : proceedings, 23–25 November, 2017. — Lviv : Lviv Polytechnic Publishing House, 2017. — P. 418–419. — (9th International academic conference «Computer science & engineering 2017» (CSE-2017)).

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