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Presentation
An Architecture for Querying Business Process, Business Process Instances, and Business Data Models
Author/s | Gómez López, María Teresa
Reina Quintero, Antonia María Parody Núñez, María Luisa Pérez Álvarez, José Miguel Reichert, Manfred |
Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Publication Date | 2017 |
Deposit Date | 2020-06-06 |
Published in |
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ISBN/ISSN | 978-3-319-74029-4 |
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 ... 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. |
Funding agencies | TIN2015-63502-C3-2-R TIN2013-40848-R TIN2016-75394-R Ministerio de Ciencia y Tecnología (MCYT). España |
Citation | Gómez López, M.T., Reina Quintero, A.M., Parody Núñez, M.L., Pérez Álvarez, J.M. y Reichert, M. (2017). An Architecture for Querying Business Process, Business Process Instances, and Business Data Models. En BPM 2017: International Conference on Business Process Management (757-769), Barcelona, España: Springer. |
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