Modern information systems for research works of the Pushchino Research Center of RAS
The current state of information systems of the Pushchino Research Center of the Russian Academy of Sciences to successfully solve the problems of computational biology.
Implementation of enterprise information management systems is still a challenging task for any organization. One of the key challenges within implementation projects is analysis of business requirements and determination of required system capabilities. Traditionally this challenge is overcome by gathering a team of experienced specialists but we would like to propose an alternate solution: using the ontology based knowledge management system to determine the necessary functionality and configuration of the enterprise information management system based on the user requirements. In this paper we describe the approach for representation of user requirements for such systems as business processes based on the ideas from The Ontology for Linking Processes and IT infrastructure (OLPIT).
Information systems have been developed in parallel with computer science, although information systems have roots in different disciplines including mathematics, engineering, and cybernetics. Research in information systems is by nature very interdisciplinary. As it is evidenced by the chapters in this book, dynamics of information systems has several diverse applications. The book presents the state-of-the-art work on theory and practice relevant to the dynamics of information systems. First, the book covers algorithmic approaches to numerical computations with infinite and infinitesimal numbers. Also the book presents important problems arising in service-oriented systems, such as dynamic composition, analysis of modern service-oriented information systems, and estimation of customer service times on a rail network from GPS data. After that, the book addresses the complexity of the problems arising in stochastic and distributed systems. In addition, the book discusses modulating communication for improving multi-agent learning convergence. Network issues, in particular minimum risk maximum clique problems, vulnerability of sensor networks, influence diffusion, community detection, and link prediction in social network analysis, as well as a comparative analysis of algorithms for transmission network expansion planning are described in subsequent chapters. We thank all the authors and anonymous referees for their advice and expertise in providing valuable contributions, which improved the quality of this book. Furthermore, we want to thank Springer for helping us to produce this book.
In this paper CASE-technology METAS intended for development of distributed dynamically adaptable information systems is presented. This technology is based on interpretation of the multilevel models describing information system and its domain from the various points of view and at different levels of abstraction. New models expanding functionality of information system can be developed on the basis of existing models.
The paper describes the principles of economic efficiency of the ATP with a decision support system. The proposed approach allows the analysis and planning of the production program for the production of motor transport.
In 2013, the InternationalConference on Advance Information Systems Engineering (CAiSE) is turning 25. Started in 1989, in these years, the conference has provided a broad forum for researchers working in the area of Information Systems Engineering. To reflect on the work done so far and to examine perspectives of future work, the CAiSE Steering Committee decided to collect a selection of papers published in the conference proceedings in these years and to ask their authors, well-known researchers in the area, to comment on their work and how it developed during the years. CAiSE Proceedings have been published by Springer in the Lecture Notes in Computer Science Series (LNCS) since 1990.
The book provides an overview on the conference from different points of view: a historical analysis on how it developed and its goals over the years, a social network analysis of the positioning of CAiSE in the research community, and future perspectives for the conference in an evolving world.