Development of a software for computer-linguistic verification of socio-demographic profile of web-community member

Abstract This article considers the current important scientific and applied problem of socio-demographic characteristics validation of virtual community members by computer-linguistic analysis of webcommunity members' information track. A systematic analysis of the web-members information content and the research of the web-communication specificity of each socio-demographic characteristics value by virtual community content validation for further modeling socio-demographic profiles of web-members are realized. Mathematical models of basic virtual community member socio-demographic characteristics for creating a socio-demographic profile of virtual community member are generated. The method of registration and validation of virtual community member's personal data by checking the maximum amount of virtual community member's data for improving the quality of content and methods of virtual community management is developed. The software for socio-demographic characteristics verification of web-community member, "Socio-demographic profile verifier", is developed, by forming socio-demographic profile of virtual community member that is based on the system building information model of socio-demographic profile of virtual community member for the automation of the verification process of web-custom content

Methods for forming an informational image of a higher education institution

The paper is dedicated to the issues connected with the informational activity of a Higher Education Institution. The methods of acquiring and maintaining a complete informational image of a Higher Education Institution are devised. The ways of a Higher Education Institution positive informational image protection are elaborated. The following stages of an informational image forming are considered: forming of the catalogue of Higher Education Institution units that perform informational activity, forming of the comprehensive thematic description of a Higher Education Institution, forming of the comprehensive register of information potential of a Higher Education Institution, search and identification of information an image generators and existing information image fragments, forming of the structure of the social and informational interfaces system, planning the entrance in generators, preparation of informational resource, entering in generators, realization of social and informational interfaces system, permanent informational activity, comprehensive verification of results

The cataloging of virtual communities of educational thematic

This article considers the current problem of investigation the specific of specialized catalog of educational virtual communities. Peculiarities of catalogs of virtual communities are formed. This study provides a method of organization of catalog of virtual communities of educational direction. This method is based on a formal model of virtual communities as an environment of information activity of the higher educational institutions. The result of the research is the method of socio-demographic characteristics identification of virtual communities' members. The formal models of internet-resources as an object of information activities mostly carried out in researches of internet-catalogs construction are formed. Thus, the primary task of this work is to develop the method of cataloging of virtual communities of educational direction and development of architecture and methods of organization of such catalog

The cataloging of virtual communities of educational thematic

This article considers the current problem of investigation the specific of specialized catalog of educational virtual communities. Peculiarities of catalogs of virtual communities are formed. This study provides a method of organization of catalog of virtual communities of educational direction. This method is based on a formal model of virtual communities as an environment of information activity of the higher educational institutions. The result of the research is the method of socio-demographic characteristics identification of virtual communities' members. The formal models of internet-resources as an object of information activities mostly carried out in researches of internet-catalogs construction are formed. Thus, the primary task of this work is to develop the method of cataloging of virtual communities of educational direction and development of architecture and methods of organization of such catalog

Real-Time High-Load Infrastructure Transaction Status Output Prediction Using Operational Intelligence and Big Data Technologies

An approach to use Operational Intelligence with mathematical modeling and Machine Learning to solve industrial technology projects problems are very crucial for today’s IT (information technology) processes and operations, taking into account the exponential growth of information and the growing trend of Big Data-based projects. Monitoring and managing high-load data projects require new approaches to infrastructure, risk management, and data-driven decision support. Key difficulties that might arise when performing IT Operations are high error rates, unplanned downtimes, poor infrastructure KPIs and metrics. The methods used in the study include machine learning models, data preprocessing, missing data imputation, SRE (site reliability engineering) indicators computation, quantitative research, and a qualitative study of data project demands. A requirements analysis for the implementation of an Operational Intelligence solution with Machine learning capabilities has been conducted and represented in the study. A model based on machine learning algorithms for transaction status code and output predictions, in order to execute system load testing, risks identification and, to avoid downtimes, is developed. Metrics and indicators for determining infrastructure load are given in the paper to obtain Operational intelligence and Site reliability insights. It turned out that data mining among the set of Operational Big Data simplifies the task of getting an understanding of what is happening with requests within the data acquisition pipeline and helps identify errors before a user faces them. Transaction tracing in a distributed environment has been enhanced using machine learning and mathematical modelling. Additionally, a step-by-step algorithm for applying the application monitoring solution in a data-based project, especially when it is dealing with Big Data is described and proposed within the study

Włączenie nowych serwisów bibliotecznych do Systemu Informacyjnego Uniwersytetu

Artykuł opisuje nowe serwisy, które Biblioteka Naukowa Narodowego Uniwersytetu Politechniki Lwowskiej oferuje swoim użytkownikom. Pozwalają one uczelni na zwiększenie jakości bezpieczeństwa informacji w procesie edukacji, a także na automatyzację procesu budowania i przepływu list zalecanej literatury. Dzięki nowym serwisom w Bibliotece listy zalecanej literatury są zgodne z aktualnymi standardami bibliograficznymi, automatycznie dopasowywane do tematu wykładów, a także wciąż uaktualniane.The article describes new services that the Scientific Library of Lviv Polytechnic National University offers to its users. These services allow university to increase the quality of information security in the educational process and automating the building and circulation proces of suggested reading lists. With the new library services the lists of recommended literature are consistent with current bibliographic standards. These lists are automatically adjusted to the subject of lectures and constantly updated