Book chapter
Ontological Foundations of Multi-agent Framework for Organizational Diagnosis
In order to support management functions in dynamically changing corporate enterprises, adequate information systems need to be built, automating desirable adaptation of inter- and intra- organizational business processes. This paper therefore introduces a new approach to the design of multi-agent information systems meant for planning, discovering, monitoring deviations, and optimizing business processes. Expected qualitative breakthrough in the system’s capacity is based on the matching of its constructional and behavioral perspective with the ontological model of supported enterprise. Besides, conformity between organizational and information systems is supplemented by their conceptual alignment in the description of states and processes. The method of multi-agent framework construction and its application for traceability in supply chains are presented in this paper.
In book
BPM 2013 was the 11th conference in a series that provides a prestigious forum for researchers and practitioners in the field of business process management (BPM). The conference was organized by Tsinghua University, China, and took place during August 26–30, 2013, in Beijing, China. Compared to previous editions of BPM, this year we noted a lower focus by authors on topics like process modeling, while we also observed a considerable growth of submissions regarding areas like process mining, conformance/compliance checking, and process model matching. The integrated consideration of processes and data remains popular, and novel viewpoints focus, among others, on data completeness in business processes, the modeling and runtime support of event streaming in business processes, and business process architectures.
Public and Municipal Services Register (PMSR) is a Master Data Management System which implements specific business rules for more than 15000 Russian public and municipal services. Through PMSR public services description and implementation is provided by all federal and regional authorities. PMSR serves as a back office system for federal one stop shop e-services portal www.gosuslugi.ru. Through e-services portal citizens can get direct access to completely described business logic of all public and municipal services provided in Russia. PMSR serves both as a basis for future e-government services maturity growth and as a tangible result of Administrative Reform in Russia (2004-2010).
The research reported in this paper aims at introducing principally new approach to the design of traceability applications for supply network by the means of semantically consistent and conceptually aligned abstractions of business-processes, data, and software architecture. To derive needed abstractions, proposed approach uses the general principles of enterprise ontology for meta-description of business objects and processes, conceptual modeling techniques for data representation in a universal format, and multi-agent solution adjusted with an ontological view on data model and business processes of organizations. The method for data modeling consistent with the business view on supply chain activities is introduced and exemplified. Agent-based approach to tracing data analysis and particular model of intellectual agents are presented.
The books contains papers presented at the BPM Demo sessions 2013, co-located with 11th International Conference on Business Process Management 2013.
Recognizing the challenges that a contemporary university faces, an inter-faculty group of researchers performed the analysis of organizational and management approach in one of Russia’s universities and modeled existing business processes. The university is a multi-campus organization and to manage it efficiently it is necessary to make transition from the traditional management model to a more flexible - network structure. This paper focuses on development of the Goal Tree and designing of AS-IS model. The researchers applied IBM Business Modeler which allows to execute modeling and simulation of business processes. The practical value of the proposed approach is that it enables the university management to improve performance and effectiveness.
The research reported in this paper aims at introducing principally new approach to the design of traceability applications for supply network by the means of semantically consistent and conceptually aligned abstractions of business-processes, data, and software architecture. To derive needed abstractions, proposed approach uses the general principles of enterprise ontology for meta-description of business objects and processes, conceptual modeling techniques for data representation in a universal format, and multi-agent solution adjusted with an ontological view on data model and business processes of organizations. The method for data modeling consistent with the business view on supply chain activities is introduced and exemplified. Agent-based approach to tracing data analysis and particular model of intellectual agents are presented.
A service-oriented architecture of dynamic intelligent systems for managing business processes based on multi-agent technology is presented in this article. The service-oriented architecture allows to apply flexible configuration of services of interacting agents of the business process. In particular, new principles and methods of organizing services, flexible access to them and their coordination in the dynamic process are proposed.
This volume contains a set of dedicated scientific contributions to the 11th International Conference on Perspectives in Business Informatics Research. The peer-reviewed and tentatively selected papers cover a broad scope of modern research in Business Informatics, and include new results in such domains as: Knowledge Management and Semantic Web, Business and information systems development, Business, people and systems interoperability and Business intelligence.
In 2012 the conference is hosted by National Research University Higher School of Economics (NRU HSE) in Nizhny Novgorod. Our university is Russia’s leader in the field of scientific research conducted at the junction of Management, Economics and Governance of IT. In particular, NRU HSE is the originator and the promoter of Business Informatics in Russia. Therefore NRU HSE pays particular attention to sustainable international cooperation and leverages scientific research in that area.
We strongly believe that materials presented will contribute to further advances in Business Informatics and will foster intensive scientific cooperation between researchers.
The design features of dynamic intelligent systems for managing business processes based on multi-agent technology and service-oriented architecture are presented in this article. The mechanisms of interaction of the agents that implement the functions of business process management, and services that implement business functions are considered. In particular, ontology-based communication methods are proposed and described.