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National Research University Higher School of Economics, Russian Federation
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4 Papers

Automatic Business Process Model Assembly on the Basis of Subject-Oriented Semantic Process Mark-up

Topics: Business-It Alignment; Business Process Management; Enterprise Architecture

Authors: Alexander Gromoff 1 , Nikolay Kazantsev 1 , Pavel Shapkin 2 and Leonid Shumsky 2

Affiliations: 1 National Research University Higher School of Economics, Russian Federation , 2 National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Russian Federation

Digital Object Identifier: 10.5220/0005120001580164

Proceedings of ICE-B 2014/ICETE, ISBN: 978-989-758-043-7

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Business processes of large companies often lack the flexibility of their smaller competitors. This fact results in slower reaction to the changes in business environment which usually require to launch complicated IT projects. Nevertheless many tasks faced in these situations by IT departments have standard solutions which could be expressed in form of semi-formalized best practices and recommendations. Authors propose a business process model enriched by the semantic mark-up that enables to represent these recommendations in form of fully formalized high-level process descriptions. Using the proposed technical approaches concrete business process models can be generated from these descriptions. Authors discuss formal methods of searching the relevant high-level descriptions as well as rating and evaluation of the generated concrete models based on different criteria.
Collapse Button Related Ontology Subjects/Areas/Topics (10)
Artificial Intelligence

Enterprise Architecture

Knowledge Management and Information Sharing

Business Process Management

Enterprise Engineering

Knowledge-Based Systems

Business-It Alignment

Enterprise Information Systems

Symbolic Systems
e-Business

Newer Approach to Flexible Business Architecture of Modern Enterprise

Topics: Models and Frameworks; Enterprise Knowledge Engineering and Management; Business-It Allignment; EA and Service Oriented Architecture (SOA); Evolution of EA

Authors: Alexander Gromoff , Nikolay Kazantsev , Mikhail Ponfilenok and Julia Stavenko

Affiliation: National Research University Higher School of Economics, Russian Federation

Digital Object Identifier: 10.5220/0004446403260332

Proceedings of ICEIS 2013, ISBN: 978-989-8565-61-7

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In this study with the aim to increase the agility of enterprise we try to analyze a co-adoption of modern concepts: application of enterprise architecture (EA) in combination with real-time business process generation on cloud-based service. The process of business model generation was simulated by transformation of particular business request in semantic form into sequence of executable blocks thus forming workflow. During the generation all necessary requirements for resources, such as information, intellectual and professional skills, inputs and outputs, quality and operational risk limitations, controls and monitoring, are formed. Next the formed requirements are to be satisfied by appropriate selections from the Cloud facilities and approved by expert commission. Finally after several iterations the required business model will be created in reality and could be executed with predicted results.

Towards Devising an Architectural Framework for Enterprise Operating Systems

Topic: Model Execution and Simulation

Authors: Sérgio Guerreiro 1 , Steven van Kervel 2 and Eduard Babkin 3

Affiliations: 1 Universidade Lusófona de Humanidades e Tecnologias, Portugal , 2 Formetis BV, Netherlands , 3 National Research University Higher School of Economics, Russian Federation

Digital Object Identifier: 10.5220/0004597805780585

Proceedings of ICSOFT-PT 2013/ICSOFT, ISBN: 978-989-8565-68-6

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One often observes that despite the efforts involved on information systems development, many times the achieved solutions do not comply well with the needs of the organization and lack in change agility to face new emerging requirements. This paper conceptualizes about an architectural framework specifically designed for explaining and representing the working environment of enterprise operating systems (EOS) and non-EOS information systems (IS) that depend on it. With these concerns in mind, the goal of EOS is to capture and control all phenomena that occur in an organization and then to provide all the required data for all IS for that organization. Using a computer engineering metaphor, this paper defines the theoretical foundations, and the methodology to design and implement an operating system for organizations. To achieve this, EOS is a model-driven dynamically. The models are based on domain ontology with C4-ness qualities and expressed in ontological language. It will be shown that the theory of enterprise ontology and the DEMO methodology provide a high degree of ontological appropriateness for this domain. This paper, outline a framework with its foundations, concepts, principles and stratification of IS, which is a radical new approach, useful to discussion this solution among the practitioners. A methodology to apply this architectural framework is discussed using a professional production case management.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Applications and Software Development

Model-Driven Software Development

Paradigm Trends

Model Execution and Simulation

Models

Software Engineering

Expertise Search in Unstructured Data in ECM using S-BPM Approach

Authors: Alexander Gromoff , Julia Stavenko , Kristina Evina and Nikolay Kazantsev

Affiliation: Institute National Research University and Higher School of Economics, Russian Federation

Digital Object Identifier: 10.5220/0004104800940105

Proceedings of WEBI 2012/ICEIS, ISBN: 978-989-8565-14-3

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This article describes the application of currently most promising methods of graph theory, content analysis and (3) subject-oriented approach to business process modelling for creating and automation of innovative process and therefore for maximization of ROI (return on investments) in intellectual and social capital of enterprises. In a course of development, instant full-text indexation takes place and taxonomic picture of different branches for such community is formed. In due course system gathers the statistics and builds-up maps of intercommunication with priority allocation of most discussed topics. A group of predetermined experts begins discussion on development prospects of this or that subject afterwards. The strategic map of investments into innovative development that can be offered to group of investors for competitive investments eventually turns out. In this process all steps except final (gathering of experts) are human non-dependant, what increase efficiency of the process in general.

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