Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2018
This paper presents a modular approach to discover process models for multi-agent systems from event logs. System event logs are filtered according to individual agent behavior. We discover workflow nets for each agent using existing process discovery algorithms. We consider asynchronous interactions among agents. Given a specification of an interaction protocol, we propose a general scheme of workflow net composition. By using morphisms, we prove that this composition preserves soundness of components. A quality evaluation shows the increase in the precision of models discovered by the proposed approach.
This paper suggests an approach, which enables automatization of computer business game automaton model construction. The processes of business game design and conduction occur within the Competence-based Business Game Studio source environment. This fact provides the universality of the domain. Separation of information system into operating and automaton models causes control logic to be concentrated within the automaton model. Due to this fact the control object (operating model) is to have unsophisticated behavior: accepting commands from the automaton and then executing stated commands. This paper verifies the need for automaton model, provides analysis of requirements and describes the design of corresponding program module (interactive visual model editor) of the Competence-based Business Game Studio source environment. This module is used to construct and edit business process models interactively during the stage of business game design.
The books contains papers presented at the BPM Demo sessions 2013, co-located with 11th International Conference on Business Process Management 2013.
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.
Comparing business process models is one of the most significant challenges for business and systems analysts. The complexity of the problem is explained by the fact there is a lack of tools that can be used for comparing business process models. Also there is no universally accepted standard for modeling them. EPC, YAWL, BPEL, XPDL and BPMN are only a small fraction of available notations that have found acceptance among developers. Every process modeling standard has its advantages and disadvantages, but almost all of them comprise an XML schema, which defines process serialization rules. Due to the fact that XML naturally represents hierarchical and reference structure of business process models, these models can be compared using their XML representations. In this paper we propose a generic comparison approach, which is applicable to XML representations of business process models. Using this approach we have developed a tool, which currently supports BPMN 2.0  (one of the most popular business process modeling notations), but can be extended to support other business process modeling standards.
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.
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.
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.