| Title |
An Architecture for Querying Business Process, Business Process Instances, and Business Data Models |
| Authors |
Teresa Gomez-Lopez, Maria , Reina Quintero, Antonia M. , PARODY NÚÑEZ, MARÍA LUISA, Perez Alvarez, Jose Miguel , Reichert, Manfred |
| External publication |
Si |
| Means |
Lect. Notes Bus. Inf. Process. |
| Scope |
Proceedings Paper |
| Nature |
Científica |
| SJR Quartile |
3 |
| SJR Impact |
0.24300 |
| Publication date |
01/01/2018 |
| ISI |
000434845200069 |
| DOI |
10.1007/978-3-319-74030-0_60 |
| Abstract |
Business data are usually managed by means of business processes during process instances. These viewpoints (business, instances and data) are strongly related because the life-cycle of business data objects need to be aligned with the business process and process instance models. However, current approaches do not provide a mechanism to integrate these three viewpoints nor to query them all together while maintaining the information in the distributed, heterogeneous systems where they have been created. In this paper, we propose the integration of the business process, business process instance, and business data models by using their metamodels and also an architecture to support this integration. The goal of this integration is to make the most of the three models and the technologies that support them in an isolated way. In our approach, it is not necessary to change the source data formats nor transforming them into a common one. Furthermore, the proposed architecture allows us to query the three models even though they come from three different technologies. |
| Keywords |
Business Data Model; Business Process Model; Business process instance model; Model integration; Heterogeneous data sources |
| Universidad Loyola members |
|
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