Proceedings of 10th International Conference on Application of Information and Communication Technologies (AICT2016)
Abstract — This paper presents preliminary result of research project, which is aimed to combine ontology information retrieval technology and process mining tools. The ontologies describing both data domains and data sources are used to search news in the Internet and to extract facts. Process Mining tools allows finding regularities, relations between single events or event types to construct formal models of processes which can be used for the next ensuing analysis by experts. An applicability of the approach is studied with example of the environmental technogenic disasters caused with oil spills, and followed events. Ontologies allow adjustment to new domains.
The Chapter is devoted to the forms of communication in Imperial Russia, the speed of dissemination of knowledge and news, the social history of public thought of the XIX-early XX centuries.
The paper investigates the process of evolutionary transformation of cooperation and integration modes of industrial and construction enterprises in St.-Petersburg. The study has been performed at the period since 1998 to nowadays. The network form of integration was chosen as the main objet of this research. The paper is aimed at identifying the path of knowledge management development in different types of networks.
One of the peculiarities of the network form of integration is the high level of independence of the network participants that interact with each other. Key issues in this cooperation would be the following:
How to organize an effective transfer of knowledge and technologies within a network?
How to find a balance between open systems of innovation and the protection of the intellectual property of network participants?
How to evaluate the intellectual capital of a network? Is it necessary to make an assessment for each participant separately? Should one take into account synergies that increase the value of the intellectual capital because of the network participants’ interaction and knowledge sharing?
How to increase competitiveness of each company and of the whole network by the effective use of the intellectual capital?
How to measure the impact of open innovations on the intellectual capital of the companies interacting within a network?
Thus, it is important to reveal how knowledge management system is developing within a network of inter-related enterprises.
On the base of interviews of top-managers of companies in industrial and construction companies there were identified five different types of networks and knowledge management systems within these types. It is demonstrated how the knowledge management model is growing and becoming mature from the amorphous type of network cooperation to the integrated type. Factors, influencing this evolutionary development, have been revealed. Also, the paper proposes an approach to the evaluation of knowledge management systems based upon the value-based management indicators.
The National Research University The Higher School of Economics, Nizhny Novgorod, Nizhny Novgorod, Russia Submitted: Oct 28, 2013; Accepted: Dec 17, 2013; Published: Dec 20, 2013 Abstract: E-learning is a complex process of creating an educational space for people to share knowledge and acquire skills via new informational technologies. The purpose of this paper is to present the results of the research in the field of e-learning based on Learning Management System. It has become particularly acute in the era of information society when evolution, advancement and the results of information communication technologies integration continue to spread at a record pace. The paper proposes the idea that Learning Management System can be an effective tool of e-learning collaboration that increases ICT competence of all the parties involved. The description of the Learning Management System program, project outcomes are presented in the paper.
The concepts of social networks, social capital and trust play an increasingly central role in the social sciences. They have become indispensable conceptual tools for the analysis of post-industrial/late-modern societies, which are characterized by such features as the relative decline of formal hierarchies, the development of flexible social arrangements in the sphere of production and the extreme mobility of capital. This is the first book to study the interrelationships between these important concepts both theoretically and empirically. Drawing on empirical investigations from a range of diverse European social contexts, the contributors develop an economic sociology that builds on and extends established theoretical perspectives. The book opens with an introduction to the theoretical ideas: relating social capital to reciprocity, trust and social networks in line with current debates. The authors go on to discuss the concept of social embededdness, addressing the economic effects of social capital by examining the network and trust foundations of labour markets and investigating the structural limits of trusting networks. They conclude with an exploration of the impact of networking and the functioning of trust and social capital on the economic arrangements and performance of nascent capitalist economies in post-Communist Europe. This thematically unified collection by a team of distinguished contributors from across Europe provides an innovative and distinctive contribution to an expanding area of research.
The paper provides a number of proposed draft operational guidelines for technology measurement and includes a number of tentative technology definitions to be used for statistical purposes, principles for identification and classification of potentially growing technology areas, suggestions on the survey strategies and indicators. These are the key components of an internationally harmonized framework for collecting and interpreting technology data that would need to be further developed through a broader consultation process. A summary of definitions of technology already available in OECD manuals and the stocktaking results are provided in the Annex section.
We consider certain spaces of functions on the circle, which naturally appear in harmonic analysis, and superposition operators on these spaces. We study the following question: which functions have the property that each their superposition with a homeomorphism of the circle belongs to a given space? We also study the multidimensional case.
We consider the spaces of functions on the m-dimensional torus, whose Fourier transform is p -summable. We obtain estimates for the norms of the exponential functions deformed by a C1 -smooth phase. The results generalize to the multidimensional case the one-dimensional results obtained by the author earlier in “Quantitative estimates in the Beurling—Helson theorem”, Sbornik: Mathematics, 201:12 (2010), 1811 – 1836.
We consider the spaces of function on the circle whose Fourier transform is p-summable. We obtain estimates for the norms of exponential functions deformed by a C1 -smooth phase.