Ontological Models of Information Retrieval

The article explores ontological models.A special type of models is considered.related to information retrieval.The ontological model of information retrieval is a specific model.The information design model is the closest model to an ontological model from a number of information models.The ontological model of information retrieval is generalized and allows for information uncertainty.The connection between the semantic model and the ontological model is shown.The semantic model of information retrieval complements the ontological model.Semantic proximity is a mandatory component of the ontological model.The article describes three methods for forming ontological models in information retrieval: indicator method, probabilistic method, fuzzy method.It is shown that logical weight is only an indicator and a qualitative characteristic, while probabilistic weight is a quantitative indicator.The article introduces several types of weighting coefficients for ontological models in information retrieval.The article introduces the definition of an ontological model of information retrieval.Three key indicators of the ontological model are described.It is shown that the user's information needs in many cases are unclear, uncertain and depend on the individual characteristics of the user.The article introduces the concept of ontological proximity.The article shows the difference between contextual metadata and contextual metamodels.The article introduces the concept of direct and contextual information resource in information retrieval.The difference between these resources is shown.The contextual information resource is associated with the ontological model.The types of relationships for direct and contextual search results are shown.The principles of forming a semantic proximity graph, which is used in ontological models, are described.