Context-oriented ontology in food safety management

Artificial Intelligence Scientific Journal 25 (2):61-69 (2020)
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Abstract

Actuality of the usage of the food safety knowledge-based technologies is shown. The food safety stakeholders and information objects are presented. The set of ontologies and context areas which are described decision –making tasks and processes are shown. The basic ontology is presented as a means of conceptual representation of the field of food safety. The usage of decision-making is considered. Modern food processing technologies, food safety requirements, food safety requirements etc. are characterized by the need for complex and rational solutions. It is necessary to consider different aspects of decision-making in food safety, which can be based not only on the knowledge of a particular subject area. The use of information and knowledge is a key task in any problem area related to the production and dissemination of knowledge, especially new types of unique content that are useful and accessible. The paper aim is to conceptually present an ontological system based on the use of context and ontologies and aimed at supporting decision making in the food safety management system. Food safety knowledge, which used in decision-making processes, is considered as the context knowledge and the knowledge that describes the content. The paper presents food safety stakeholders and provides information objects. The information and knowledge includes various aspects such as knowledge and information on the production and processing industry; and the food safety aspects. For this purpose, an interconnected set of ontologies is used, which is a multilevel associative structure: meta-ontology; basic ontology; context ontology; set of domain ontologies; realization ontology; user presentation and interaction ontology; model of inference machine. Implementation of food safety processes and integration of the components of decision-making is based on the presentation of the multi-level system of management and decision-making in it through a model of a context. The context framework takes into account different context domains, such as: purpose/result, actor, process/action, object, environment, facility, tools, presentation, location, and time. The ontology implementation builds an inter connected system of preparation and choice of solutions, both for the given problem and for interaction with other complexes of problems and tasks, allows to make decisions taking into account the consequences of their implementation.

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