OMiLAB NPO

OMiLAB ≡ Open Models Initiative LABoratoryWe support an active global community for conceptual modelling who benefits from open artefacts. To this end we act as a facilitator to the development of scientific methods and technologies for all those who value models. In addition we act as a platform, where participants can bring in ideas related to modelling and engage in the exploration process.We follow a user-driven approach in our understanding of the term “model”, recognizing that there are useful models in widely different domains like information technology, biology, chemistry or medicine, as well as various functional areas like procurement, marketing, logistics and engineering.Our organization contributes structurally to the community through a worldwide network of OMiLAB Nodes as well as a variety of resources, like:

Knowledge and procedures (e.g. domain-independent methodologies, trainings and documentation)
Technology (e.g. open source software and services), and through
Community building activities.

OMiLAB's Badges

OMiLAB's OMiLAB Community Memberships

OMiLAB's Publications

	Title ▲	Year	Contributing OMiLAB
	Model-Aware Software Engineering – A Knowledge-based Approach to Model-Driven Software Engineering:	2018	OMiLAB@University of Vienna
Type: Proceedings Article URL: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006694102330240 Authors: Robert Andrei Buchmann and Mihai Cinpoeru and Alisa Harkai and Dimitris Karagiannis Publisher: SCITEPRESS – Science and Technology Publications DOI: https://doi.org/10.5220/0006694102330240 Book: Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering
	Model-Driven Context Configuration in Business Process Management Systems: An Approach Based on Knowledge Graphs	2019	OMiLAB@UBB FSEGA
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. Type: Proceedings Article Authors: Mihai Cinpoeru and Ana-Maria Ghiran and Alisa Harkai and Robert Andrei Buchmann and Dimitris Karagiannis Publisher: Springer International Publishing Book: Perspectives in Business Informatics Research Editors: Małgorzata Pańkowska and Kurt Sandkuhl
	The “What'' Facet of the Zachman Framework – A Linked Data-Driven Interpretation	2018	OMiLAB@UBB FSEGA
Abstract. The recommended interpretation of the “What'' facet in the Zachman Framework is that it serves as a data-centric viewpoint on the enterprise, capturing data requirements across several layers of abstraction – from high-level business concepts down to implemented data entities. In enterprise modelling, these have been traditionally approached through well-established practices and modelling techniques – i.e., Entity-Relationship models, UML class models and other types of popular data model types. In the current context of digital transformation and agile enterprise relying on distributed information systems, certain technological specifics are lost when employing traditional methods acting on a high level of abstraction. For example, the Linked Data paradigm advocates specific data distribution, publishing and retrieval techniques that would be useful if assimilated on a modelling level – in what could be characterised as technology-specific modelling methods (mirroring the field of domain-specific languages, but from a technological perspective). This paper proposes an agile modelling language that provides a diagrammatic and, at the same time, machine-readable integration of several of the Zachman Framework facets. In this language, the “What'' facet covers concepts met in a Linked Enterprise Data environment – e.g., graph servers, graph databases, RESTful HTTP requests. These have been conceptualised in the proposed language and implemented in a way that allows the generation of a particular kind of code – process-driven orchestration of PHP-based SPARQL client requests. Type: Proceedings Article URL: https://link.springer.com/chapter/10.1007/978-3-319-92898-2_17 Authors: Alisa Harkai and Mihai Cinpoeru and Robert Andrei Buchmann Publisher: Springer International Publishing Book: Advanced Information Systems Engineering Workshops Editors: Raimundas Matulevičius and Remco Dijkman
	Repurposing Zachman Framework Principles for "Enterprise Model"-Driven Engineering	2017	OMiLAB@UBB FSEGA
Type: Proceedings Article URL: https://www.scitepress.org/papers/2018/67107/67107.pdf Authors: Harkai, A., Cinpoeru, M. and Buchmann, R.A. Book: Proceedings of ICEIS 2018
	Model-Aware Software Engineering	2017	OMiLAB@UBB FSEGA
Type: Proceedings Article URL: https://www.scitepress.org/papers/2018/66941/66941.pdf Authors: Buchmann, R.A., Cinpoeru, M., Harkai, A. and Karagiannis, D. Book: Proceedings of ENASE 2018