The object of research is the process of recommendation formation in information systems based on integration of temporal rules with standardized ontological constructions for transition from descriptive to prescriptive description in tasks of supporting management decisions. The objective is to develop a prescriptive model of temporal knowledge with integration of OWL-ontologies in order to ensure automated formation of justified management recommendations based on semantically coordinated temporal dependencies in information systems. Tasks: to develop representation of temporal knowledge based on integration of temporal rules and standardized OWL-Time constructions; to develop a prescriptive model of temporal knowledge with capabilities of semantic mapping of temporal rules onto ontological relations. Used principles of Allen's temporal logic, W3C OWL-Time standards, methods of ontological modeling, algorithms of logical inference. The following results were obtained. A two-level representation of temporal knowledge was developed that combines the empirical level of temporal rules with the semantic level of ontological relations through a system of combined weights. A prescriptive model of temporal knowledge was created that includes a set of temporal rules, a set of ontological relations and a set of combined weights for automated formation of management recommendations. Conclusions. The scientific novelty of the obtained results consists in the following. A prescriptive model of temporal knowledge with OWL-integration is proposed, which contains sets of temporal rules, ontologies, as well as combined weights that determine the influence of these rules and ontologies on the formation of recommendations regarding actions of management decision. The model provides possibility to form recommendations regarding future actions of management decision based on composition of rules with verification of correspondence of these rules to existing knowledge regarding the subject domain.
Chalyi et al. (Tue,) studied this question.