Abstract
Purpose
Knowledge- and communication-intensive domains still long for a better support of creativity that considers legal requirements, compliance rules and administrative tasks as well, because current systems focus either on knowledge representation or business process management. The purpose of this paper is to discuss our model of integrated knowledge and business process representation and its presentation to users.
Design/methodology/approach
The authors follow a design science approach in the environment of patent prosecution, which is characterized by a highly standardized, legally prescribed process and individual knowledge study. Thus, the research is based on knowledge study, BPM, graph-based knowledge representation and user interface design. The authors iteratively designed and built a model and a prototype. To evaluate the approach, the authors used analytical proof of concept, real-world test scenarios and case studies in real-world settings, where the authors conducted observations and open interviews.
Findings
The authors designed a model and implemented a prototype for evolving and storing static and dynamic aspects of knowledge. The proposed solution leverages the flexibility of a graph-based model to enable open and not only continuously developing user-centered processes but also pre-defined ones. The authors further propose a user interface concept which supports users to benefit from the richness of the model but provides sufficient guidance.
Originality/value
The balanced integration of the data and task perspectives distinguishes the model significantly from other approaches such as BPM or knowledge graphs. The authors further provide a sophisticated user interface design, which allows the users to effectively and efficiently use the graph-based knowledge representation in their daily study.
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 669-697 |
| Seitenumfang | 29 |
| Fachzeitschrift | International Journal of Web Information Systems |
| Volume | 17 |
| Ausgabenummer | 6 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2021 |
Wissenschaftszweige
- 202007 Computer Integrated Manufacturing (CIM)
- 102001 Artificial Intelligence
- 102006 Computer Supported Cooperative Work (CSCW)
- 102010 Datenbanksysteme
- 102014 Informationsdesign
- 102015 Informationssysteme
- 102016 IT-Sicherheit
- 102019 Machine Learning
- 102022 Softwareentwicklung
- 102025 Verteilte Systeme
- 102028 Knowledge Engineering
- 102033 Data Mining
- 102035 Data Science
- 502007 E-Commerce
- 505002 Datenschutz
- 506002 E-Government
- 509018 Wissensmanagement
JKU-Schwerpunkte
- Digital Transformation
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