ICN-Based Workflow Model and its Advances

Abstract

This chapter introduces the basic concepts of information control net (ICN) and its workflow models. In principle, a workflow model is the theoretical basis of a workflow modeling methodology as well as a workflow enactment architecture. Particularly, the workflow model is directly related with how its major components are embodied for implementing the underlying workflow enactment system, too. Accordingly, the authors describe the graphical and formal representations of ICN-based workflow model and its advanced models-role-based model and actor-based model-that can be automatically transformed from the ICN-based workflow model in order to improve their verifiability, maintainability and usability. Conclusively stating, we strongly believe that the ICN-based workflow model and its advanced models be very useful not only for maximizing the quality of workflows but also for strengthening theoretical backgrounds of the recent research issues, such as workflow verification/validation, workflow reengineering, workflow intelligence, workflow mining/rediscovery, and advanced workflow architectures, and so on.

Temporal Outlier Detection and Correlation Analysis of Business Process Executions

“…In Fig. 4, five temporal trace types are constructed from the process model example represented as an information control net [4]. The traces of event logs are classified by matching the order of events which occur in each trace and the temporal trace types.…”

A GraphML-based Visualization Framework for Workflow-Performers’ Closeness Centrality Measurements

“…Especially, to graphically reflect the strengths of the relationships (or work-intimacies) between workflow performers, we adopt the attribute of Weight as <Edge Keys>. 5 is the ccGraphML contents of the performer-flow graph spawned from the hiring workflow procedure [2] and a screen-snapshot 6 of the visual representation of the individual closeness centrality measures centered from the performer, ø 5 , who has the highest closeness centrality measure. As you can easily recognize on the colored screen-snapshot of the closeness centralization graph, the centered node (ø 5 ) is the biggest sized circle, the direct-tied (its geodesic distance is 1.)…”

“…As a means of visualizing human-centered workflow knowledge, this paper proposes a visualization framework focusing on measuring the centralizations of workflow performers, which is one of the key practice indicators to identify the important or prominent performers within a workflow procedure, and can be analyzed by the typical social network analysis technique, centrality. The most widely used centrality measurement techniques are degree 1 , closeness 2 , between-ness 3 , and eigenvalue. These measures vary in their applicability to non-directed and directed relations, and differ at the individual performer and the group performers of the partial or complete workflow procedure levels.…”

“…The degree centrality measures the extent to which a workflow-performer connects to all others 2. The closeness centrality measures how near a workflow-performer is to the others 3.…”

Discovering Redo-Activities and Performers’ Involvements from XES-Formatted Workflow Process Enactment Event Logs

“…The theoretical background is the information control net (ICN) methodology [3]. ICN is a typical workflow modeling approach supporting graphical and formal representations.…”