Abstract
The object of research is the components of an intelligent system for searching information in electronic repositories of unstructured documents, which based on the ontologies of the subject area. One of the most problematic areas is the processing and analysis of information contained in electronic repositories of unstructured documents. There are considered the some possibilities of increasing the efficiency of information processing. In the course of the study, using the method in which ontologies comprise sets of terms presented in it. In addition, the ontological set also includes information about subject areas, areas of definitions, etc. There are obtained the sequence of defining the conceptual representation of an intelligent search system based on ontological components. There are presented the composition of the ontological system model. There are described the main functional components of the system for intelligent processing of information about electronic documents. The proposed approaches for identifying the component components of the ontological model of the search system have a lot of features. This is due to the fact that the search system model must have a set of properties: integrity, coherence, organization, integrability, mobility. Ontologies which representing the basic concepts of the domain in a format available for automated processing in the form of a hierarchy of classes and relationships between them allow automated processing. The using of ontologies in the role of an intermediary between the user and the search process, between the search process and the search system that can facilitate the solution of a number of complex and non-standard tasks of information retrieval (for example, the automation of the search process). It is possible to solve the problem of knowledge representation for displaying information relevant to user requests, as well as to solve the problems of filtering and classifying information. Compared to similar well-known search systems, this provides such advantages as creating a common terminology for software agents and users, protecting the information store from total overflow and errors, as well as solving the issue of information aging.
Highlights
Today, the current definition of the concept of «architecture» of an information system is the definition formulated in the ISO/IEC/IEEE 42010 Systems and Software Engineering – Architecture Description standard
The object of research is the component components of an intelligent system for searching information in electronic repositories of unstructured documents based on the ontologies of the subject area
The aim of research is to identify the main components of an intelligent electronic document search system based on domain ontologies, it is advisable to use it for information and analytical services of organizations, enterprises or private firms
Summary
The current definition of the concept of «architecture» of an information system is the definition formulated in the ISO/IEC/IEEE 42010 Systems and Software Engineering – Architecture Description standard. To solve the problems of obtaining, analyzing, processing and presenting knowledge, a number of types of intelligent systems are used These are expert systems, information retrieval systems, decision support systems, operational analytical data processing systems, knowledge management systems, etc. The ontological set includes information about subject areas, domains of definitions, etc Ontology is called such a scheme, which consists of classes related to each other by different relationships and rules. Modern information retrieval models implemented in many information systems in most cases do not use the knowledge described in special thesauri and ontologies Most often they are based on the use of a common set of words. The object of research is the component components of an intelligent system for searching information in electronic repositories of unstructured documents based on the ontologies of the subject area. The aim of research is to identify the main components of an intelligent electronic document search system based on domain ontologies, it is advisable to use it for information and analytical services of organizations, enterprises or private firms
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