Model-Driven Context Configuration in Business Process Management Systems: An Approach Based on Knowledge Graphs

Mihai Cinpoeru and Ana-Maria Ghiran and Alisa Harkai and Robert Andrei Buchmann and Dimitris Karagiannis

Business Process Management Systems (BPMSs) are inherently model-driven, relying on machine-readable process repositories that are typically standards-based. However, a requirement for semantic agility is emerging as knowledge-driven applications become less blueprint-oriented and more context-aware. The integration of process knowledge with contextual data can be subjected to this agility requirement – i.e., having the process modelling environment customised in terms of (expanding) its knowledge space and in terms of model-data interoperability. Such customisations may capture any of the enterprise perspectives proposed by the Zachman Framework (among which the How, Who and Where facets are in our particular focus) towards the benefit of establishing a hybrid knowledge-data fabric underlying flexible, context-driven BPMSs.

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    Mihai Cinpoeru, Ana-Maria Ghiran, Alisa Harkai, Robert Andrei Buchmann, Dimitris Karagiannis: Model-Driven Context Configuration in Business Process Management Systems: An Approach Based on Knowledge Graphs. In: Pańkowska, Małgorzata; Sandkuhl, Kurt (Ed.): Perspectives in Business Informatics Research, pp. 189–203, Springer International Publishing, Cham, 2019, ISBN: 978-3-030-31143-8.

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    @inproceedings{10.1007/978-3-030-31143-8_14,
title = {Model-Driven Context Configuration in Business Process Management Systems: An Approach Based on Knowledge Graphs},
author = {Mihai Cinpoeru and Ana-Maria Ghiran and Alisa Harkai and Robert Andrei Buchmann and Dimitris Karagiannis},
editor = {Małgorzata Pańkowska and Kurt Sandkuhl},
isbn = {978-3-030-31143-8},
year  = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
booktitle = {Perspectives in Business Informatics Research},
pages = {189–203},
publisher = {Springer International Publishing},
address = {Cham},
abstract = {Business Process Management Systems (BPMSs) are inherently model-driven, relying on machine-readable process repositories that are typically standards-based. However, a requirement for semantic agility is emerging as knowledge-driven applications become less blueprint-oriented and more context-aware. The integration of process knowledge with contextual data can be subjected to this agility requirement – i.e., having the process modelling environment customised in terms of (expanding) its knowledge space and in terms of model-data interoperability. Such customisations may capture any of the enterprise perspectives proposed by the Zachman Framework (among which the How, Who and Where facets are in our particular focus) towards the benefit of establishing a hybrid knowledge-data fabric underlying flexible, context-driven BPMSs.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}