Ihor Rishnyak

Bio: Ihor Rishnyak is an academic researcher from Lviv Polytechnic. The author has contributed to research in topics: Information technology & Information system. The author has an hindex of 8, co-authored 16 publications receiving 304 citations.

The risk management modelling in multi project environment

Abstract: The paper proposes a method for modeling risk management in multi-project environment. Simulation was conducted and the example was provided in the article.

Analysis and Evaluation of Risks in Electronic Commerce

Abstract: The analysis of basic problems of activity of electronic commerce and risks which arise as a result of this activity is conducted in this paper. The methods of evaluation of risks in electronic commerce are offered.

The Contextual Search Method Based on Domain Thesaurus

Abstract: The growth of volume of text resources on Internet and natural limitations of human cognition justifies the development of search enhancement systems. This paper proposes a contextual search method based on domain thesaurus. The method uses semantic metrics defined on thesaurus and weighted conceptual graph model for search enhancement. As an example a task of searching for partners working in similar research area is analyzed. The effectiveness of proposed method when evaluated using precision metric was better compared to Jaccard’s and WUP methods.

Time Dependence of the Output Signal Morphology for Nonlinear Oscillator Neuron Based on Van der Pol Model

Abstract: Time-frequency and time dependence of the output signal morphology of nonlinear oscillator neuron based on Van der Pol model using analytical and numerical methods were investigated. Threshold effect neuron, when it is exposed to external non-stationary signals that vary in shape, frequency and amplitude was considered.

Classification Methods of Text Documents Using Ontology Based Approach

Abstract: This article discusses an approach to classification of text documents using ontological approach. The method of text documents categorization based on metrics, which uses the rubric ontology specificity, is built.

Method of Integration and Content Management of the Information Resources Network

Abstract: The paper describes the integrated processing method of heterogeneous information resources of web systems, which allows for further integration and management. Our method involves the decomposition of the overall process on subprocesses of value integration, data syntax, semantics, and structure. The advantage of this approach to integration processes is the ability to execute them at the metadata level. It allows reducing the number of hits to the data of web systems, the volumes of which can be significant. The paper presents a model of the content life cycle in web systems. The model describes the processes of processing information resources in web systems and simplifies the technology of integrated automation and content management. In this work, the main problems of functional services of integration and content management were analyzed. The proposed method gives the opportunity to create tools for working out of information resources in web systems and implement the subsystem of integration and content management.

Intellectual system design for content formation

Abstract: In this paper, we explore the task of intellectual information system creation for content formation. We developed the general recommendations for design of the intellectual system. Our system has special modules for processing of information resources. We created the software for formation, control, and implementation of content and made experiments on “Online newspaper” and “Online magazine” systems. The comparative analysis showed that the architecture offered by us and modules of content processing, which we used at all stages of work, positively affected information resources.

Information resources processing using linguistic analysis of textual content

Abstract: The tremendous growth rates of Internet and volume of content stored on its servers requires the creation of tools for automatic content analysis and processing. Intelligent systems for content processing aim to simplify and automate such tasks as content analysis and classification, finding keywords and building digests, distributing content according to specified criteria. This paper presents the results of a study of patterns, characteristics and dependencies in automatic text processing of commercial content. Data and information flows in processes of commercial content transformation are elucidated and formalized. The methods of linguistic analysis are proposed for automation of all operations of content processing. A content management system built using developed methods is constantly monitoring content from various sources, gathers and integrates content and distributes it to customers. The implementation of proposed methods and procedures allows effectively create and distribute content for targeted social audience and individual customers.

Linguistic analysis of textual commercial content for information resources processing

Abstract: The article content lies in solving the important applied scientific problem of the informational resources processing intellectual systems (IRPISes) with textual commercial content linguistic analysis usage creation. The IRPISes functioning mathematical ensuring was developed. The IRPISes construction means and methods will be developed on the basis of created mathematical models. Such systems have the widespread usage, in particular for the forming, managing and maintenance of the expanding content volume in Internet, running e-business, during the online and offline content realization systems, cloud storage and cloud computing.