Workflow Modeling Assistance by Case-based Reasoning

Abstract

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Using Graph Embedding Techniques in Process-Oriented Case-Based Reasoning

“…Our experiments examine two case bases from different domains that are both represented as semantic NEST graphs. The cooking processes (CB-I) contain 800 sandwich recipes with ingredients and cooking steps [3], split into 660 training cases, 60 validation cases, and 80 test cases. The processes of the data mining domain (CB-II) are built from sample processes that are delivered with RapidMiner (see [5] for more details), split into 509 training cases, 40 validation cases, and 60 test cases.…”

“…Our semantic graph format allows the integration of semantic knowledge within graph structures. The format is mainly used to model processes and workflows in various domains (e.g., [3][4][5]9]). We represent all cases and queries as semantically annotated directed graphs referred to as NEST graphs, introduced by Bergmann and Gil [7].…”

“…Case-Based Reasoning (CBR) [1,2] is used widely across different domains, e.g., for cooking assistance [3], in smart manufacturing [4], and for data mining support [5]. CBR is a methodology for problem solving where problems and their respective solutions (bundled as cases in a case base) are used to solve upcoming problems (queries).…”

Using Physical Factory Simulation Models for Business Process Management Research

“…Discussion: How to capture and formalize the knowledge of production workers and their unstructured environment is one of the fundamental challenges to be addressed (C5). Using past successful process executions to learn possible adaptations of process instances automatically to deal with new or similar already experienced situations (C12) seems to be promising [19]. In general, the integration of humans both in the production process itself and in the application of AI-based methods is challenging, e. g., explanations of automatically executed adaptations should be meaningful and transparent for users.…”

Informed Machine Learning for Improved Similarity Assessment in Process-Oriented Case-Based Reasoning

“…Case-Based Reasoning (CBR) [Aamodt and Plaza, 1994;Richter and Weber, 2013] is used widespread across different domains, e. g., modeling of cooking recipes [Hoffmann et al, 2020], prediction of seawater temperatures [Corchado and Lees, 2001], natural language processing of support tickets [Amin et al, 2020a], and assisted reuse of data mining workflows . One of its strengths is the use of structured domain knowledge that is modeled, among others, for the case representation, for the definition of similarity measures, and for case adaptation methods [Richter and Weber, 2013].…”