Scientific Journal of KubSAU

The subject of the article is a scientific and educational potential of a modern University. From the standpoint of the essential ontological approach, the author identifies the conditions for capacity building, discusses the complex of measures on increase of its capacity, and describes the conditions of its further diversification. The inductive-deductive method allows one to grasp the essence of innovative proposals for capacity development, which is the reengineering that is treated as an important factor of socio-economic development of modern society. Reengineering helps to actualize the partnerships, to reevaluate the social mission of the University, namely to improve the provision of scientific work force, strengthening competitiveness on the world market of knowledge. As an innovative technology reengineering contributing to the successful development of scientific-educational potential as a radical change of the information model, as a radical redesign of the critical processes in the system of classical education

The basis of Semantic Web technology is the possibility of joint construction of ontology and the formation of the dictionary without centralized control. All the information and the knowledge encoded in the ontology as semantic web-terms and the semantic web-documents. Swoogle helps software agents and knowledge engineers find Semantic Web knowledge encoded in RDF and OWL documents on the Web. Navigating such a Semantic Web on the Web is difficult due to the paucity of explicit hyperlinks beyond the namespaces in URIrefs and the few interdocument links like rdfs:seeAlso and owl:imports. In order to solve this issue, this paper proposes a novel Semantic Web navigation model providing additional navigation paths through Swoogle’s search services such as the Ontology Dictionary. Using this model, we have developed algorithms for ranking of Semantic Web objects at three levels of granularity: documents, terms and RDF graphs. The article focuses on the ranking at the document level, based on a rational search model, which emits the agent's behavior when navigating at the document level, and ranking on level terms, the value of which is determined by the number of their references in all documents

Means of information safety of a hardware-software complex of the computer network of an enterprise play an important role at the realization of the general strategy and tactics of the enterprise safety. Uninterrupted operation and stability of a program work and hardware maintenance, confidentiality of the personal information, a degree of protection against non-authorized access depend on competent realization of the accepted policy in the field of information safety for observance of commercial interests of an enterprise. Results of the problems analysis of information safety at use of information technologies are presented in this paper.

From synergetic approach positions, subject education hermeneutical meanings, experience and knowledge subjectification, psycho-educational aspects of individual socialization in higher education institution of remote education conditions are viewed in the article

We live in a world of rapidly developing information technologies, where many organizations are related to each other, forming complex information networks. Therefore, storage, analysis and retrieval of information is a very complex and urgent task. In connection with the advent of search engines and communications, millions of people are engaged in the search and retrieval of information. Commercial search engines, such as Google, use keyword search based on logical queries. The main disadvantage of this search is that it returns a lot of irrelevant information, which leads to low accuracy. In this article, we focus on building a semantic search system based on the mapping of the ontological model. This includes various stages of development of ontology, the phase of indexing and information retrieval

The article considers problems of constructing a temporal processor in the planning and management of a multitude of objects using various temporal theories of representing temporal factors of perception of the external environment based on the phenomenon of human memory

One of the key areas of interdisciplinary research is to ensure public safety. In order to solve a number of problems within this area we can effectively use information technology and, in particular, an automated pattern recognition technology and identification of objects on digital images. There are addition problems in objects identifying process besides eliminating the influence of ambient light, angle, items of clothing and headgear. To ensure the applicability of the recognition approach to public security issues it must meet requirements of the high processing speed, the replenishment capabilities onthe-fly list of known images, and the low computational complexity of algorithms. The article deals with the main approaches to the recognition and identification of objects on digital images based on statistical approaches, as well as neural network models. We have allocate their basic features and principles, provided a brief description of each method. Consideration has been made in terms of the application for the problems of public safety, in which there is importance of the speed of the identification of the object, the ability of quickly learning for the system to accept new images and simultaneously process a plurality of input images. The analysis of the existing approaches has shown that none of them satisfy at least one or several needs, which are defined by domain problems of public safety