Martin, Andreas
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Integrating an Enterprise Architecture Ontology in a Case-Based Reasoning Approach for Project Knowledge
Refining Process Models through the Analysis of Informal Work Practice
The work presented in this paper explores the potential of leveraging the traces of informal work and collaboration in order to improve business processes over time. As process executions often differ from the original design due to individual preferences, skills or competencies and exceptions, we propose methods to analyse personal preferences of work, such as email communication and personal task execution in a task management application. Outcome of these methods is the detection of internal substructures (subtasks or branches) of activities on the one hand and the recommendation of resources to be used in activities on the other hand, leading to the improvement of business process models. Our first results show that even though human intervention is still required to operationalise these insights it is indeed possible to derive interesting and new insights about business processes from traces of informal work and infer suggestions for process model changes.
Support Knowledge Intensive Work with Semantic Technologies
This paper introduces an approach to support knowledge intensive work with semantic technologies by semantically enriching processes and then applying reasoning techniques on them. Further, the proposed use cases show the abilities of semantically enriched processes. Finally the paper introduces a possible architecture of a system which facilitates the knowledge intensive work with semantic technologies.processes and finally the paper introduces a possible architecture of a system which supports the knowledge intensive work with semantic technologies.
Agile Process Execution with KISSmir
In this paper, we describe an approach for agile business process execution and its developed prototype. In a rapidly changing environment an enterprise must be flexible and able to quickly react. Traditional business process modelling approaches are too rigid and inflexible. To achieve more agility, the modelling during build-time must be less strict and more open in a way that users are able to perform individual adaptations during run-time, which leads to more flexibility. Being able to react fast is also depending on the enterprise knowledge. Employees must be aware of it and able to access it in an easy way. The approach proposes to use ontologies to store information and appropriate services to receive context-relevant information to tackle these challenges.
Mining of Agile Business Processes
Organizational agility is a key challenge in today's business world. The Knowledge-Intensive Service Support approach tackles agility by combining process modeling and business rules. In the paper at hand, we present five approaches of process mining that could further increase the agility of processes by improving an existing process model.
Applying Organizational Learning to Enterprise Knowledge Maturing
We first describe the state of the art of organizational learning, mentioning the theories and types of it. The need of organizational learning, contributing processes and the main processes are further explained. Various methods of organizational learning are introduced. A template for a short description is proposed, which gives an overview about existing methods. The template then offers the possibility to indicate which method can be applied on Enterprise Knowledge Maturing.