The increasing amount of information that needs to be taken into account in decision making determines the relevance of building intelligent decision support systems. The prerequisite for making the right decision is to build a correct conceptual model of the problem situation, which takes into account all the factors relevant to this situation. The conceptualization of the problem situation is presented by the ontology of that situation. When forming the ontology of a situation, it is advisable to use knowledge from existing ontologies. This raises the problem of ambiguity in the selection of elements of existing ontologies that most accurately fit the situation.
The purpose of the work is to investigate the usage of ontology networks for the construction of ontologies for problematic situations in the conditions of choice ambiguity, that is, when it is necessary to select the most accurate ontological source taking in consideration the context.
Formal definitions of the ontology of the problem situation, the correspondence between the elements of the ontology, the network of ontologies and the rules of conformity are given. Matching rules are defined as mappings between subsets of concepts, relationships, and interpretation functions of two ontologies. The paper presents a conceptual model of ontology formation of a problematic situation based on several source ontologies. The structure of decision support system on the basis of ontological networks was developed and the process of decision support in case of using ontology networks was defined. A central element of such a system is the knowledge base, which contains situation models and links to external ontologies from the network for each such model. The basis of these references is a set of articulation rules that determine which ontologies should be used to acquire knowledge from and how to transform them before writing them into an ontology of a situation. When a problematic situation occurs, the ontology of the situation is formed dynamically, taking into account the existing context of the situation. It also provides an opportunity to use current knowledge in related ontologies.
Proposed approaches for building decision support systems using ontology networks provide the ability to dynamically select concepts and relationships that are relevant to the context of the situation. The results of the work should be used to develop decision support systems that require data from different subject areas in conditions of ambiguity.
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