scholarly journals Execution of Knowledge-Intensive Processes by Utilizing Ontology-Based Reasoning

Author(s):  
Eric Rietzke ◽  
Carsten Maletzki ◽  
Ralph Bergmann ◽  
Norbert Kuhn

AbstractModeling and executing knowledge-intensive processes (KiPs) are challenging with state-of-the-art approaches, and the specific demands of KiPs are the subject of ongoing research. In this context, little attention has been paid to the ontology-driven combination of data-centric and semantic business process modeling, which finds additional motivation by enabling the division of labor between humans and artificial intelligence. Such approaches have characteristics that could allow support for KiPs based on the inferencing capabilities of reasoners. We confirm this as we show that reasoners can infer the executability of tasks based on a currently researched ontology- and data-driven business process model (ODD-BP model). Further support for KiPs by the proposed inference mechanism results from its ability to infer the relevance of tasks, depending on the extent to which their execution would contribute to process progress. Besides these contributions along with the execution perspective (start-to-end direction), we will also show how our approach can help to reach specific process goals by inferring the relevance of process elements regarding their support to achieve such goals (end-to-start direction). The elements with the most valuable process progress can be identified in the intersection of both, the execution and goal perspective. This paper will introduce this new approach and verifies its practicability with an evaluation of a KiP in the field of emergency call centers.

2020 ◽  
Vol 24 (3) ◽  
pp. 67-77
Author(s):  
V. V. Devyatkov ◽  
A. V. V.Gabalin

The purpose of research. The goal of this study is to analyze different domestic software packages intended for modeling of business processes involving queues and time parameters. The main analysis criteria are: the possibility of graphical development or conversion of the business process block diagram to the model; automatic generation of simulation model; quick and convenient construction of domain-specific application; the variety of result analysis tools. The relevance of the problems to choose the optimal modeling tool is determined by the need to use only domestic software for business process investigation in the military and some scientific organizations, and by the lack of information about existing software products. In this paper, the subject of study is the Russian simulation modeling environment GPSS Studio.Materials and methods. In this article, the analysis of the possibility of effective usage of GPSS Studio environment during business processes analysis and synthesis is performed. The study was performed on the available examples of different applications of this tool, and by the creation of the model analyzing business processes that are typical for any HR department.Results. Taking into account the performed analysis of functionality and practical applications of the GPSS Studio environment, the good prospects of its application for modeling of business processes involving queues and time parameters are shown. The further system improvements intended for effective business process modeling are proposed.Conclusion. As a result of the performed study, we can do the following conclusions and recommendations:– The GPSS Studio graphical editor can be successfully used for the graphical description of the business processes when it is required to analyze: queues, the load of resources, and the time characteristics of the processing,– The simulation model is automatically generated from the graphical description. The produced model can be finally debugged and verified with the GPSS Studio,– The standalone simulation application working in terms of the subject domain can be built from the simulation model using the simulation environment,– Using this application, it is possible to perform complex business process simulation modeling by means of varying system parameters and performing of singular experiments, a series of dedicated experiments, and optimizing experiments,– Since the GPSS Studio concepts include the possibility to create domain-specific libraries of standard blocks, it is possible to create a library of standard elements similar to IDEF, BPMN, DFD block charts to facilitate faster description and modeling of business processes. After the creation of such a library, there would be no need to manually write GPSS code, since the business process model could be built by a simple connection of standard blocks.


2013 ◽  
Vol 2013 ◽  
pp. 1-37 ◽  
Author(s):  
Wil M. P. van der Aalst

Business Process Management (BPM) research resulted in a plethora of methods, techniques, and tools to support the design, enactment, management, and analysis of operational business processes. This survey aims to structure these results and provide an overview of the state-of-the-art in BPM. In BPM the concept of a process model is fundamental. Process models may be used to configure information systems, but may also be used to analyze, understand, and improve the processes they describe. Hence, the introduction of BPM technology has both managerial and technical ramifications and may enable significant productivity improvements, cost savings, and flow-time reductions. The practical relevance of BPM and rapid developments over the last decade justify a comprehensive survey.


Author(s):  
Olga Levina

Design of Decision Service Using Cause-and-Effect Business Process AnalysisBusiness processes are executed according to a specific business logic that can be formulated as business rules. Often decisions are taken during the course of the process to fulfill conditions or exceptions leading to process variations. These decisions are meant to support business process operations and are composed of a set of business rules, additionally being based on a solid process relevant knowledge and know-how. These processes are here referred to as decision knowledge intensive processes. In this paper the question of how business rules and consequently operational decisions can be derived from the business process model is addressed. The therefore necessary business process analysis and decision identification are performed using the cause-and-effect approach. Service-oriented implementation of the found decisions is suggested and outlined.


2019 ◽  
Vol 25 (6) ◽  
pp. 1357-1376 ◽  
Author(s):  
Fadwa Yahya ◽  
Khouloud Boukadi ◽  
Hanêne Ben-Abdallah

Purpose The quality of a Business Process (BP) model is vital for the successful accomplishment of all its lifecycle phases. Indeed, a high-quality BP model makes its implementation, execution and evaluation easier. In the literature, the improvement of BP model quality has been dealt with using several techniques. For instance, modeling guidelines, refactoring techniques, and transformation rules are the most used ones. The purpose of this paper is to exploit existing initiatives in this field to help designers improve their BP models. Design/methodology/approach This paper draws up a systematic inventory of the existing approaches to improve the quality of BP models. Moreover, it provides a comparative evaluation with the aim of identifying the particularities of each approach as well as the common gaps in the state of the art. Finally, it proposes a guiding framework, called BP-Quality, that supports designers in improving the quality of their BP models. Findings The usability of BP-Quality is illustrated through a case study and a set of experiments. The preliminary experimental evaluation of this guiding framework shows encouraging results. Originality/value The proposed guiding framework has the merit of exploiting existing initiatives in the field of BP quality improvement. In addition, it customizes and optimizes the quality improvement process according to the particularities of each BP model.


2021 ◽  
pp. 61-72
Author(s):  
Merih Seran Uysal ◽  
Dominik Hüser ◽  
Wil M.P Van der Aalst

The rapid increase in generation of business process models in the industry has raised the demand on the development of process model matching approaches. In this paper, we introduce a novel optimization-based business process model matching approach which can flexibly incorporate both the behavioral and label information of processes for the identification of correspondences between activities. Given two business process models, we achieve our goal by defining an integer linear program which maximizes the label similarities among process activities and the behavioral similarity between the process models. Our approach enables the user to determine the importance of the local label-based similarities and the global behavioral similarity of the models by offering the utilization of a predefined weighting parameter, allowing for flexibility. Moreover, extensive experimental evaluation performed on three real-world datasets points out the high accuracy of our proposal, outperforming the state of the art.


Robotics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 18 ◽  
Author(s):  
Clemens Troll ◽  
Sven Tietze ◽  
Jens-Peter Majschak

In this paper, an investigation is presented that demonstrates the application of a new approach for enabling the reduction of liquid slosh by implementing optimized motion profiles over a continuous range of operating speeds. Liquid slosh occurs in the packaging process of beverages. Starting by creating a dynamic process model, optimal control theory is applied for calculating optimal motion profiles that minimize residual vibration. Subsequently, the difficulty of operating speed dependency of the herewith synthesized motion profiles is examined. An approach in which the optimal motion profiles are consolidated into a characteristic map of motion specifications, which can be executed by a programmable logic controller in real time, is discussed. Eventually, the success of this novel approach is demonstrated by the comparison with state-of-the-art motion profiles and conventional motion implementation.


2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Barun Basnet ◽  
Junho Bang

The application of sensors and information and communication technology (ICT) in agriculture has played a vital role in improving agricultural production and the value chain. Recently, the use of data analytics has shifted agriculture from input-intensive to knowledge-intensive as a large amount of agricultural data can be stored, shared, and analyzed to create information. In this paper, we have reviewed existing sensors and data analytics techniques used in different areas of agriculture. We have classified agriculture into five categories and reviewed the state-of-the-art technology in practice and ongoing research in each of these areas. Also, we have presented a case study of Korean scenario compared with other developed nations and addressed some of the issues associated with it. Finally, we have discussed current and future challenges and provided our views on how such issues can be addressed.


Author(s):  
Riad Sonbol ◽  
Ghaida Rebdawi ◽  
Nada Ghneim

Anaphora resolution (AR) is one of the most important tasks in natural language processing which focuses on the problem of resolving what a pronoun, or a noun phrase refers to. Moreover, AR plays an essential role when dealing with business process textual description, either when trying to discover the process model from the text, or when validating an existing model. It helps these systems in discovering the core components in any process model (actors and objects).In this paper, we propose a domain specific AR system. The approach starts by automatically generating the concept map of the text, then the system uses this map to resolve references using the syntactic and semantic relations in the concept map. The approach outperforms the state-of-the art performance in the domain of business process texts with more than 73% accuracy. In addition, this approach could be easily adopted to resolve references in other domains.


2021 ◽  
pp. 111-130
Author(s):  
Maryam Heidari ◽  
Oliver Arnold

AbstractIn contemporary organizations, multiple variants of the same business process are often considerable. Such business process variability has caused considerable challenges, both while modeling processes and in their execution. In order to develop a new approach to managing process variants, or extend an existing one, in this research, we review the state of the art in a particular area: online examination processes. We show to what extent variability should be considered in exam processes, whether this is due to special legal restrictions and regulations, different exam frameworks, or even different technical infrastructure. This could be the foundation for developing an approach to managing process variability in the field of e-assessment. Initial findings indicate that examination processes have many similarities, but also considerable differentiation. Therefore, there an appropriate model needs to be developed in order to manage variability in e-assessment and the developed approach must then be validated in identifying faculties. This paper constitutes a first step in this direction.


2012 ◽  
pp. 83-88
Author(s):  
A. Zolotov ◽  
M. Mukhanov

А new approach to policy-making in the field of economic reforms in modernizing countries (on the sample of SME promotion) is the subject of this article. Based on summarizing the ten-year experience of de-bureaucratization policy implementation to reduce the administrative pressure on SME, the conclusion of its insufficient efficiency and sustainability is made. The alternative possibility is the positive reintegration approach, which provides multiparty policy-making process, special compensation mechanisms for the losing sides, monitoring and enforcement operations. In conclusion matching between positive reintegration principles and socio-cultural factors inherent in modernization process is provided.


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