Navigating in process model repositories and enterprise process information

Business Process Management Workshops

et al. 2015

Self Cite

Abstract. Enterprises are facing increasingly complex business processes. Engineering processes in the automotive domain, for example, may comprise hundreds or thousands of process tasks. In such a scenario, existing modeling notations do not always allow for a user-friendly process visualization. In turn, this hampers the comprehensibility of business processes, especially for non-experienced process participants. This paper tackles this challenge by suggesting alternative ways of visualizing large and complex process models. A controlled experiment with 22 subjects provides first insights into how users perceive these approaches.

Section: Related Workmentioning

confidence: 99%

Enabling a User-Friendly Visualization of Business Process Models

Hipp

Strauß

Business Process Management Workshops

et al. 2015

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“…It was conducted based on a questionnaire comprising 60 questions. 9 Each interview lasted around 90 minutes.…”

Section: Empirical Validationmentioning

confidence: 99%

“…More specifically, RQ1 was addressed from the user's perspective by the tasks with associated questions, whereas RQ3 was investigated by the introducing and concluding questions. 9 Available at http://nipro.hs-weingarten.de/casestudy…”

Section: Empirical Validationmentioning

confidence: 99%

See 1 more Smart Citation

Maintaining Semantic Networks

Proceedings of the 16th International Conference on Information Integration and Web-Based Applications &Amp; Services

Ulmschneider

Glimm

et al. 2014

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Knowledge workers are confronted with a massive load of data from numerous heterogeneous sources, making it difficult for them to identify the information relevant for performing their tasks. Particularly challenging is the alignment of information with business processes. In previous work, we introduced a Semantic Network (SN) for bridging this gap, i.e., for identifying relations between information and business processes. What has been neglected so far is the maintenance of an SN in order to keep the SN consistent, complete, and up-to-date. This paper tackles this issue and extends our approach with algorithms dealing with the maintenance of an SN. For this purpose, we identify and classify properties of objects and relations captured in an SN and show how these properties can be maintained. We use a case from the automotive domain in order to demonstrate and validate the feasibility and applicability of our maintenance framework.

“…For example, it has been shown that enterprise portals rather contain complex and static content (e.g., long lists of documents, large process maps). In turn, this rather confuses users (Hipp et al, 2014). Therefore, it is challenging for the latter to identify the relations between enterprise information and business processes, which is crucial when performing specific process tasks.…”

Section: Introductionmentioning

confidence: 99%

On maintaining semantic networks: challenges, algorithms, use cases

Ulmschneider

International Journal of Web Information Systems

Glimm

et al. 2015

Self Cite

Purpose-Knowledge workers are confronted with a massive load of data from heterogeneous sources, making it difficult for them to discover information relevant in the context of their daily tasks. As a particular challenge, enterprise information needs to be aligned with business processes. In previous work, the authors introduced the Semantic Network (SN) approach for bridging this gap, i.e., for discovering explicit relations between enterprise information and business processes. What has been neglected so far, however, is SN maintenance, which is required to keep an SN consistent, complete, and up-to-date. The paper tackles this issue and extends the SN approach with methods and algorithms for enabling SN maintenance. Design/methodology/approach-The paper illustrates an approach for SN maintenance. Specifically, the authors show how an SN evolves over time, classify properties of objects and relations captured in an SN, and show how these properties can be maintained. An empirical evaluation, which is based on synthetic and real-world data, investigates the performance, scalability and practicability of the proposed algorithms. Findings-The authors prove the feasibility of the introduced algorithms in terms of runtime performance with a proof-of-concept implementation. Further, a real-world case from the automotive domain confirms the applicability of the SN maintenance approach. Originality/value-As opposed to existing work, the presented approach allows for the automated and consistent maintenance of SNs. Furthermore, the applicability of the presented SN maintenance approach is validated in the context of a real-world scenario as well as two business cases.