Ing. Robert Pergl, Ph.D.

Ing. Robert Pergl, Ph.D. Robert’s research focus is conceptual modelling, software engineering and programming languages. He is highly interested and active in the field of software tools supporting the listed areas.

Contact information

All contact information may be found at Robert’s FIT homepage.

Vision

Merging of business and formalisation: colours of life with the beauty of structures and mathematics.

Work experience and affiliations

since 2011 Faculty of Information Technologies, Czech Technical University: assistant professor at Dept. of Software Engineering

  • Researcher in the field of conceptual modelling, formal methods and techniques,  software engineering and programming languages.
  • Developer and leader of development of software tools supporting the research.
  • Building cooperation with industry.
  • Leader of students project groups.
  • Internal IS systems development manager and consultant.
  • Coordinator of Centre for Conceptual Modelling.
  • Teacher of subjects focused on conceptual modelling.
  • Supervisor of bachelor and master theses.
 2006-2012  Czech University of Life Sciences in Prague: part time assistant professor at Dept. of Information Engineering

  • Researcher in the field of information management and software engineering.
  • Leader of research projects.
  • Developer of software tools supporting the research.
  • Teacher of subjects focused on theoretical computer science, computer systems and software engineering.
  • Supervisor of bachelor and master theses.
since 2008 Freelance IT Consultant

  • IT management and consultancy.
  • Web portals and software systems analysis, design and implementation.
2004 – 2008 Deloitte Advisory, s.r.o.: Consultant in Management Consulting Dept.

  • Assessment, consultancy and design of information systems.
  • IT-business alignment.
  • Business process engineering.

Education

 2003 – 2008  Ph.D. in Information Management
Faculty of Economics and Management, Czech University of Life Sciences
 1997 – 2003  Master degree (Ing.) in Computer Science
Faculty of Electrical Engineering, Czech Technical Univesity

Research projects

2011 – 2015 Protecting Cultural Heritage from Floods: project funded by Ministry of Culture of Czech Republic

  • Joint project of ITAM AS CR, v. v. i., CTU, CULS, NTM
  • Robert’s role is process modelling, internal IS infrastructure management, analysis, design and development of softwares supporting the methodology.
2006 – 2011 Intelligent Tools for Knowledge Management (IZMAN): project funded by Ministry of Education of Czech Republic.

  • Project of FEM CULS
  • Robert was the chief researcher of the section “Methodology and Tools”.
 2006 – 2008 Ambient Intelligence for Managerial Decision Support (AMIMADES): project funded by Czech Grant Agency.

  • Joint project of FEM CULS and FIM UHK
  • Robert’s role was research of modelling business processes and fuzziness.

Committees

  • Head of Node member of ELIXIR CZ.
  • ELIXIR CZ Interoperability platform representative.
  • General Chair of EOMAS.
  • Programme Chair of EEWC.

Certificates

Other projects and practice

  • IT assessments, business-IT alignment.
  • Business process engineering.
  • Knowledge engineering.
  • Analysis, design and implementation of web and software applications.

Publications

Šenkýř, D., Suchánek, M., Kroha, P., Mannaert, H., & Pergl, R. (2022). Expanding Normalized Systems from Textual Domain Descriptions using TEMOS. Journal of Intelligent Information Systems, 59(2), 391–414. https://doi.org/10.1007/s10844-022-00706-8
Suchánek, M., Mannaert, H., Uhnák, P., & Pergl, R. (2021). Towards Evolvable Ontology-Driven Development with Normalized Systems. In R. Ali, H. Kaindl, & L. A. Maciaszek (Eds.), Evaluation of Novel Approaches to Software Engineering (pp. 208–231). Springer International Publishing. https://doi.org/10.1007/978-3-030-70006-5_9
Suchánek, M., Mannaert, H., & Pergl, R. (2022). Towards Normalized Systems from RDF with SPARQL. New Trends in Intelligent Software Methodologies, Tools and Techniques, 609–620. https://doi.org/10.3233/FAIA220290
Suchánek, M., Mannaert, H., Uhnák, P., & Pergl, R. (2024). Bi-directional Transformation between Normalized Systems Elements and Domain Ontologies in OWL. Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE, 74–85. https://doi.org/10.5220/0009356800740085
Suchánek, M., Mannaert, H., Uhnák, P., & Pergl, R. (2021). Building Normalized Systems from Domain Models in Ecore. New Trends in Intelligent Software Methodologies, Tools and Techniques, 169–182. https://doi.org/10.3233/FAIA210018
Miksa, T., Suchánek, M., Slifka, J., Knaisl, V., Ekaputra, F. J., Kovacevic, F., Ningtyas, A. M., El-Ebshihy, A., & Pergl, R. (2023). Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans. 22(1), 28. https://doi.org/10.5334/dsj-2023-028
Dvorak, O., & Pergl, R. (2022). Tackling rapid technology changes by applying enterprise engineering theories. Science of Computer Programming, 215, 23. https://doi.org/https://doi.org/10.1016/j.scico.2021.102747
Slifka, J., Knaisl, V., & Pergl, R. (2023). Evolvable transformation of knowledge graphs into human-oriented formats. Journal of Intelligent Information Systems. https://doi.org/10.1007/s10844-023-00809-w
Suchánek, M., & Pergl, R. (2019). Mapping UFO-B to BPMN, BORM, and UML Activity Diagram. In R. Pergl, E. Babkin, R. Lock, P. Malyzhenkov, & V. Merunka (Eds.), Enterprise and Organizational Modeling and Simulation (pp. 82–98). Springer International Publishing. https://doi.org/10.1007/978-3-030-35646-0_7
Jacobsen, A., de Miranda Azevedo, R., Juty, N., Batista, D., Coles, S., Cornet, R., Courtot, M., Crosas, M., Dumontier, M., Evelo, C. T., Goble, C., Guizzardi, G., Hansen, K. K., Hasnain, A., Hettne, K., Heringa, J., Hooft, R. W. W., Imming, M., Jeffery, K. G., … Schultes, E. (2020). FAIR Principles: Interpretations and Implementation Considerations. Data Intelligence, 2(1–2), 10–29. https://doi.org/10.1162/dint_r_00024
Jonquet, C., Dutta, B., Santos, L. O. B. da S., Pergl, R., & Franc, Y. L. (2022). Common minimum metadata for FAIR semantic artefacts. https://hal.science/hal-04106533
Slifka, J., & Pergl, R. (2022). User Interface Modelling Languages for Normalised Systems: Systematic Literature Review. In A. Rocha, H. Adeli, G. Dzemyda, & F. Moreira (Eds.), Information Systems and Technologies (Vol. 470, pp. 349–358). Springer International Publishing. https://doi.org/10.1007/978-3-031-04829-6_31
Pergl, R., Hooft, R., Suchánek, M., Knaisl, V., & Slifka, J. (2019). “Data Stewardship Wizard”: A Tool Bringing Together Researchers, Data Stewards, and Data Experts around Data Management Planning. Data Science Journal, 18, 59. https://doi.org/10.5334/dsj-2019-059
Slifka, J., & Pergl, R. (2020). Laying the Foundation for Design System Ontology. In Á. Rocha, H. Adeli, L. P. Reis, S. Costanzo, I. Orovic, & F. Moreira (Eds.), Trends and Innovations in Information Systems and Technologies (Vol. 1159, pp. 778–787). Springer International Publishing. https://doi.org/10.1007/978-3-030-45688-7_76
Knaisl, V., & Pergl, R. (2020). Proposing Ontology-Driven Content Modularization in Documents Based on the Normalized Systems Theory. In Á. Rocha, H. Adeli, L. P. Reis, S. Costanzo, I. Orovic, & F. Moreira (Eds.), Trends and Innovations in Information Systems and Technologies (Vol. 1159, pp. 45–54). Springer International Publishing. https://doi.org/10.1007/978-3-030-45688-7_5
Knaisl, V. (2019). Proposing an Architecture of an Intelligent Evolvable Document Generation System Based on the Normalized Systems Theory. In R. Pergl, E. Babkin, R. Lock, P. Malyzhenkov, & V. Merunka (Eds.), Enterprise and Organizational Modeling and Simulation (Vol. 366, pp. 70–81). Springer International Publishing. https://doi.org/10.1007/978-3-030-35646-0_6
Knaisl, V., & Pergl, R. (2022). Improving Document Evolvability Based on Normalized Systems Theory. In A. Rocha, H. Adeli, G. Dzemyda, & F. Moreira (Eds.), Information Systems and Technologies (Vol. 469, pp. 131–140). Springer International Publishing. https://doi.org/10.1007/978-3-031-04819-7_14
Šenkýř, D., Suchánek, M., Kroha, P., Mannaert, H., & Pergl, R. (2022). Expanding Normalized Systems from textual domain descriptions using TEMOS. Journal of Intelligent Information Systems. https://doi.org/10.1007/s10844-022-00706-8
Skotnica, M., Aparício, M., Pergl, R., & Guerreiro, S. (2021). Process digitalization using blockchain: EU parliament elections case study. Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development. https://doi.org/10.5220/0010229000650075
Skotnica, M., Klicpera, J., & Pergl, R. (2021). Towards model-driven smart contract systems - code generation and improving expressivity of smart contract modeling. CIAO! Doctoral Consortium, EEWC Forum 2020. http://ceur-ws.org/Vol-2825/paper1.pdf
Schultes, E., Magagna, B., Hettne, K. M., Pergl, R., Suchanek, M., & Kuhn, T. (2020). Reusable FAIR Implementation Profiles as Accelerators of FAIR Convergence. In G. Grossmann & S. Ram (Eds.), Advances in Conceptual Modeling, Er 2020 (Vol. 12584, pp. 138–147). Springer International Publishing Ag. https://doi.org/10.1007/978-3-030-65847-2_13
Schultes, E., Magagna, B., Hettne, K. M., Pergl, R., Suchánek, M., & Kuhn, T. (2020). Reusable FAIR Implementation Profiles as Accelerators of FAIR Convergence. In G. Grossmann & S. Ram (Eds.), Advances in Conceptual Modeling (Vol. 12584, pp. 138–147). Springer International Publishing. https://doi.org/10.1007/978-3-030-65847-2_13
Rybola, Z., & Pergl, R. (2016). Towards OntoUML for Software Engineering: Transformation of Rigid Sortal Types into Relational Databases. Proceedings of {FedCSIS} 2016, 8, 1581–1591. https://doi.org/10.15439/2016F250
Rybola, Z., & Pergl, R. (2016). Towards OntoUML for Software Engineering: Transformation of Anti-Rigid Sortal Types into Relational Databases. Model and Data Engineering, 1–15. https://doi.org/10.1007/978-3-319-45547-1_1
Pergl, R., Sales, T. P., & Rybola, Z. (2013). Towards OntoUML for Software Engineering: From Domain Ontology to Implementation Model. Proceedings of MEDI 2013, 3rd, 249–263. https://doi.org/10.1007/978-3-642-41366-7
Rybola, Z., & Pergl, R. (2016, June 13). Towards OntoUML for Software Engineering: Introduction to the Transformation of OntoUML into Relational Databases. Enterprise and Organizational Modeling and Simulation. 12th International Workshop on Enterprise & Organizational Modeling and Simulation, Ljubljana, Slovenia. https://doi.org/10.1007/978-3-319-49454-8_5
Pergl, R., Sales, T. P., & Rybola, Z. (2013). Instance-Level Modelling and Simulation Revisited. Enterprise and Organizational Modeling and Simulation, 85–100. https://doi.org/10.1007/978-3-642-41638-5_6
Rybola, Z., & Pergl, R. (2018). Towards OntoUML for Software Engineering: Optimizing Kinds and Subkinds Transformed into Relational Databases. Enterprise and Organizational Modeling and Simulation, 31–45. https://doi.org/10.1007/978-3-030-00787-4_3
Pergl, R., Suchánek, M., Slifka, J., Knaisl, V., Hooft, R., & Kuzak, M. (2019). Data Stewardship Wizard (2019). 2019. https://doi.org/https://doi.org/10.7490/f1000research.1117037.1
Jiménez, R. C., Kuzak, M., Alhamdoosh, M., Barker, M., Batut, B., Borg, M., Capella-Gutierrez, S., Chue Hong, N., Cook, M., Corpas, M., Flannery, M., Garcia, L., Gelpí, J. Ll., Gladman, S., Goble, C., González Ferreiro, M., Gonzalez-Beltran, A., Griffin, P. C., Grüning, B., … Crouch, S. (2017). Four simple recommendations to encourage best practices in research software. F1000Research, 6. https://doi.org/10.12688/f1000research.11407.1
Uhnák, P., & Pergl, R. (2017). Instance Visualizations - ESUG17 - IWST17. http://dl.acm.org/citation.cfm?doid=3139903.3139912
Hooft, R., Pergl, R., Suchánek, M., & Gelder, C. van. (2018). Data Stewardship Wizard (poster). F1000Research, 7. https://doi.org/10.7490/f1000research.1115594.1
Suchánek, M., & Pergl, R. (2018, October 11). Data Stewardship Wizard for Open Science. Data a znalosti & WIKT 2018, Brno, Czech Republic. http://daz2018.fit.vutbr.cz
Suchánek, M., & Pergl, R. (2018). Evolvable Documents – an Initial Conceptualization. 39–44.
Verdonck, M., Gailly, F., Pergl, R., Guizzardi, G., Martins, B., & Pastor, O. (2018). Comparing traditional conceptual modeling with ontology-driven conceptual modeling: An empirical study. Information Systems, 81. https://doi.org/10.1016/j.is.2018.11.009
Pergl, R. (2019). Conceptualisation: Chapters from Harmonising Enterprise and Software Engineering -- a Habilitation Thesis [Habilitation, Czech Technical University in Prague, Faculty of Information Technology]. https://www.researchgate.net/publication/332274993_Conceptualisation_Chapters_from_Harmonising_Enterprise_and_Software_Engineering_--_a_Habilitation_Thesis
Pergl, R. (2019). The Two Pillars. Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 1. KDIR, 5–20.
Šenkýř, D. (2019). SHACL Shapes Generation from Textual Documents. In R. Pergl, E. Babkin, R. Lock, P. Malyzhenkov, & V. Merunka (Eds.), Enterprise and Organizational Modeling and Simulation (Vol. 366, pp. 121–130). Springer International Publishing. https://doi.org/10.1007/978-3-030-35646-0_9
Suchánek, M. (2019). Designing an Ontology for Semantic Integration of Various Conceptual Models. In R. Pergl, E. Babkin, R. Lock, P. Malyzhenkov, & V. Merunka (Eds.), Enterprise and Organizational Modeling and Simulation (pp. 3–17). Springer International Publishing. https://doi.org/10.1007/978-3-030-35646-0_1
Suchánek, M., & Pergl, R. (2019). Evolvability Evaluation of Conceptual-Level Inheritance Implementation Patterns. PATTERNS 2019, The Eleventh International Conference on Pervasive Patterns and Applications, 2019, 1–6. https://www.thinkmind.org/index.php?view=article&articleid=patterns_2019_1_10_78001
Suchánek, M., & Slifka, J. (2019). Evolvable and Machine-Actionable Modular Reports for Service-Oriented Architecture. In R. Pergl, E. Babkin, R. Lock, P. Malyzhenkov, & V. Merunka (Eds.), Enterprise and Organizational Modeling and Simulation (pp. 43–59). Springer International Publishing. https://doi.org/10.1007/978-3-030-35646-0_4
Wittenburg, P., Pergl Sustkova, H., Montesanti, A., Bloemers, S. M., de Waard, S. H., Musen, M. A., Graybeal, J. B., Hettne, K. M., Jacobsen, A., Pergl, R., Hooft, R. W. W., Staiger, C., van Gelder, C. W. G., Knijnenburg, S. L., van Arkel, A. C., Meerman, B., Wilkinson, M. D., Sansone, S.-A., Rocca-Serra, P., … Schultes, E. A. (2019). The FAIR Funder pilot programme to make it easy for funders to require and for grantees to produce FAIR Data. http://arxiv.org/abs/1902.11162
Jones, S., Pergl, R., Hooft, R., Miksa, T., Samors, R., Ungvari, J., Davis, R. I., & Lee, T. (2020). Data Management Planning: How Requirements and Solutions are Beginning to Converge. Data Intelligence, 2(1–2), 208–219. https://doi.org/10.1162/dint_a_00043
McQuilton, P., Batista, D., Beyan, O., Granell, R., Coles, S., Izzo, M., Lister, A. L., Pergl, R., Rocca-Serra, P., Schaap, B., Shanahan, H., Thurston, M., & Sansone, S.-A. (2020). Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data. Data Intelligence, 2(1–2), 151–157. https://doi.org/10.1162/dint_a_00037
Skotnica, M., & Pergl, R. (2020). Das Contract - A Visual Domain Specific Language for Modeling Blockchain Smart Contracts. In D. Aveiro, G. Guizzardi, & J. Borbinha (Eds.), Advances in Enterprise Engineering XIII (pp. 149–166). Springer International Publishing.
Suchánek, M., Mannaert, H., Uhnák, P., & Pergl, R. (2020). Bi-directional Transformation between Normalized Systems Elements and Domain Ontologies in OWL. Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering 2020, 2020, 74–85.
Suchánek, M., & Pergl, R. (2020). Case-Study-Based Review of Approaches for Transforming UML Class Diagrams to OWL and Vice Versa. 22nd IEEE Conference on Business Informatics (CBI 2020), 2020, 270–279. https://doi.org/10.1109/CBI49978.2020.00036
Sustkova, H. P., Hettne, K. M., Wittenburg, P., Jacobsen, A., Kuhn, T., Pergl, R., Slifka, J., McQuilton, P., Magagna, B., Sansone, S.-A., Stocker, M., Imming, M., Lannom, L., Musen, M., & Schultes, E. (2020). FAIR Convergence Matrix: Optimizing the Reuse of Existing FAIR-Related Resources. Data Intelligence, 2(1–2), 158–170. https://doi.org/10.1162/dint_a_00038
Ivanova, M., & Malyzhenkov, P. (2018). The Intellectual Dimension of IT-Business Alignment Problem: Alloy Application. In R. Pergl, E. Babkin, R. Lock, P. Malyzhenkov, & V. Merunka (Eds.), Enterprise and Organizational Modeling and Simulation (Vol. 332, pp. 153–168). Springer International Publishing. https://doi.org/10.1007/978-3-030-00787-4_11