Abstract
The increasing number, complexity, and variability of business rules in today's enterprises introduces the need for their effective and flexible management. In several research fields, such as the semantic web, library science, and data tailoring, effective organization of knowledge is enabled by contexts. We previously proposed a static structure model for context-based business rule management. To enable flexibility, we complement this model by atomic and composed modification operations. Each atomic modification operation is associated with one of four roles: rule repository administrator, rule developer, user, and domain expert. This enables effective separation of tasks and responsibilities promoting efficient rule management. Composed modification operations describe combinations of atomic modification operations relevant in practice. We apply the proposed approach to the real-world use case of classifying aeronautical messages.
| Originalsprache | Englisch |
|---|---|
| Titel | Proceedings of the IEEE 21st International Distributed Object Computing Conference (EDOC 2017), 10-13 Oktober 2017, Québec City, Kanada |
| Verlag | IEEE Computer Society Press |
| Seiten | 194-203 |
| Seitenumfang | 10 |
| ISBN (Print) | 978-1-5090-3045-3 |
| Publikationsstatus | Veröffentlicht - Okt. 2017 |
Wissenschaftszweige
- 102 Informatik
- 102010 Datenbanksysteme
- 102015 Informationssysteme
- 102016 IT-Sicherheit
- 102025 Verteilte Systeme
- 102027 Web Engineering
- 102028 Knowledge Engineering
- 102030 Semantische Technologien
- 102033 Data Mining
- 502050 Wirtschaftsinformatik
- 503008 E-Learning
JKU-Schwerpunkte
- Computation in Informatics and Mathematics
- Management and Innovation
Projekte
- 1 Abgeschlossen
-
SemNOTAM - SemanticNOTAMs: Ontology-based Representation and Semantic Quering of Digital Notices to Airman
Andorfer-Plainer, B. (Forscher*in), Burgstaller, F. (Forscher*in), Kovacic, I. (Forscher*in), Neumayr, B. (Forscher*in), Steiner, D. (Forscher*in), Schrefl, M. (Projektleiter*in) & Brandl, M. (Administration)
01.01.2014 → 30.06.2017
Projekt: Geförderte Forschung › FFG - Österreichische Forschungsförderungsgesellschaft
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