Track 16: Data Models for Business Services
For several decades, data modelling has proved to be one of the most important methodical utilities for systems engineering. In the context of service-oriented enterprise architectures, data models are particularly used at a business level for conceptual modelling of business domains and business services, at an IT level for specifying data views within service-oriented architectures (SOA). In contrast to enterprise-wide data schemas of earlier years, issues of modularisation, (semantic) coupling, reuse, and scaling of data schemas are of vital importance to SOA. Moreover, data-intensive services generate new technological requirements to (distributed) data management. The track covers methodical and technological issues of data modelling and data management of business services.
Possible topics:
- Design of (distributed) data schemas for business services
- Conceptual data models and advanced database models for business services (e. g. object-oriented, object-relational, semi-structured)
- Context-related data types for business service schemas (e.g. user, profile, VCard)
- Handling of unstructured data
- Semantic concepts for modelling of data schemas
- Modelling of messages and service interfaces
- Data management of data-intensive business services
- Utilisation and quality of data-intensive business services
Leading Committee: |
| Prof. Dr. Thomas Myrach, Universität Bern |
| Prof. Dr. Elmar Sinz, Otto-Friedrich-Universität Bamberg (Federführender) |
| Prof. Dr. Gottfried Vossen, Westfälische Wilhelms-Universität Münster |
Program Committee: |
| Abraham Bernstein, Universität Zürich |
| Martin Bertram, Commerzbank AG, Frankfurt |
| Andreas Meier, Universität Fribourg |
| Michael Rebstock, Fachhochschule Darmstadt |
| Gernot Starke, Doing IT Right |
| Orestis Terzidis, SAP Research Karlsruhe |
| Peter Westerkamp, WGZ Bank Düsseldorf |
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