Related Research

This list of publications is by no means complete. Please let us know which works we should add.

  • Al-Fedaghi, S.: Conceptual modeling with constraints. CoRR abs/2206.02277(2022). https://doi.org/10.48550/arXiv.2206.02277

  • Barron, T.M., Chiang, R.H., Storey, V.C.: A semiotics framework for information systems classification and development. Decision Support Systems 25(1), 1–17 (1999)

  • Bencomo, N., Cabot, J., Chechik, M., Cheng, B.H.C., Combemale, B., Wąsowski, A., Zschaler, S.: Abstraction engineering (2024), https://arxiv.org/abs/2408.14074

  • Bienemann, A., Schewe, K.D., Thalheim, B.: Towards a theory of genericity based on government and binding. In: Proc. ER’06, LNCS 4215. pp. 311–324. Springer (2006)

  • Brachman, R.J.: On the epistemological status of semantic networks. In: Asso- ciative Networks: Representation and Use of Knowledge by Computers, pp. 3–50. Academic Press (1979). https://doi.org/10.1016/B978-0-12-256380-5.50007-4

  • Cabot, J., Gogolla, M.: Object Constraint Language (OCL): A Definitive Guide, pp. 58–90. Springer Berlin Heidelberg (2012). https://doi.org/10.1007/978-3-642- 30982-3\_3

  • Cabot, J., Gómez, C., Pastor, O., Sancho, M.R., Teniente, E. (eds.): Conceptual Modeling Perspectives. Springer International Publishing (2017). https://doi.org/10.1007/978-3-319-67271-7

  • Cabot, J., Vallecillo, A.: Modeling should be an independent scientific discipline. SoSyM Software and Systems Modeling 21, 2101–2107 (2022)

  • Castellanos, A., Samuel, B., Recker, J., Jabbari, M., Lukyanenko, R.: Conceptual modeling research: revisiting and updating Wand and Weber’s 2002 research agenda. AIS SIGSAND pp. 1–12 (2018)

  • Eriksson, O., Johannesson, P., Bergholtz, M.: The case for classes and instances – a response to representing instances: the case for reengineering conceptual modelling grammars. European Journal of Information Systems 28(6), 681–693 (2019). https://doi.org/10.1080/0960085X.2019.1673672

  • Fettke, P., Reisig, W.: Once and for all: How to compose modules – the composition calculus. In: Leveraging Applications of Formal Methods, Verification and Validation. Lecture Notes in Computer Science, vol. 15220, pp. 173–190. Springer (2024). https://doi.org/10.1007/978-3-031-75107-3\_11

  • Fillmore, C.J.: Frame semantics. Cognitive linguistics: Basic readings 34, 373–400 (2006)

  • Fliedl,  G., Kop,  C.,  Mayr,  H.C.:  From  textual  scenarios  to a conceptual schema. Data Knowl. Eng. 55(1), 20–37 (2005). https://doi.org/10.1016/J.DATAK.2004.11.007

  • Fliedl, G., Kop, C., Mayr, H.C., Mayerthaler, W., Winkler, C.: Linguistically based requirements engineering – the NIBA-project. Data Knowl. Eng. 35(2), 111–120 (2000)

  • Forstmann, B.U., Wagenmakers, E.J. (eds.): An introduction to model-based cognitive neuroscience, vol. 614. Springer (2015)

  • Frank, U.: Multi-perspective enterprise modeling (memo) conceptual framework and modeling languages. Proc. 35th Annual Hawaii Int. Conf. on System Sciences. pp. 1258–1267 (2002). https://doi.org/10.1109/HICSS.2002.993989

  • Goldstein, R.C., Storey, V.C.: Data abstractions: Why and how? Data & Knowledge Engineering 29(3), 293–311 (1999)

  • Guarino, N., Guizzardi, G., Mylopoulos, J.: On the philosophical foundations of conceptual models. Information Modelling and Knowledge Bases, IOS Press XXXI, 1–15 (2019)

  • Guizzardi, G.: Ontological Foundations for Structural Conceptual Models. Universal Press, The Netherlands (2005)

  • Guizzardi, G., Benevides, A.B., Fonseca, C.M., Porello, D., Almeida, J.P., Salesa, T.P.: Ufo: Unified foundational ontology. Applied Ontology pp. 1–31 (2021)

  • Guizzardi, G., Wagner, G., Almeida, J.P.A., Guizzardi, R.: Towards ontological foundations for conceptual modeling: The unified foundational ontology (ufo) story. Appl. Ontology 10, 259–271 (2015). https://doi.org/10.25300/MISQ/2021/16027

  • Hesse, W., Mayr, H.C.: Modellierung in der Softwaretechnik. Inform. Spektrum 31(5), 375 (2008). https://doi.org/10.1007/S00287-008-0278-5

  • Jaakkola, H., Thalheim, B.: Architecture-driven modelling methodologies. In: Information Modelling and Knowledge Bases. vol. XXII, pp. 97–116. IOS Press (2011)

  • Janssen, T., Redeker, G. (eds.): Cognitive linguistics: Foundations, scope, and methodology, vol. 15. Walter de Gruyter (2010)

  • Johnson-Laird, P.N.: Mental models and human reasoning. Proceedings of the Na- tional Academy of Sciences 107(43), 18243–18250 (2010)

  • Karagiannis, D., Mayr, H.C., Mylopoulos, J. (eds.): Domain-Specific Conceptual Modeling, Concepts, Methods and Tools. Springer (2016). https://doi.org/10.1007/978-3-319-39417-6

  • Kaschek, R.: A little theory of abstraction. In: Modellierung 2004, pp. 75–92. Gesellschaft für Informatik e.V., Bonn (2004)

  • Kaschek, R., Mayr, H.C.: A characterization of OOA tools. In: Proc. 4th Inter- national Symposium on Assessment of Software Tools. pp. 59–67. IEEE (1996). https://doi.org/10.1109/AST.1996.506478

  • Kaschek, R.H., Delcambre, L.M.L. (eds.): Lecture Notes in Computer Science, vol. 6520. Springer (2008). https://doi.org/10.1007/978-3-642-17505-3\_2

  • Kralemann, B., Lattmann, C.: The semantics of models: A semiotic philosophy of science approach. In: SDKB 2011, Revised and Selected Papers. Lecture Notes in Computer Science, vol. 7693, pp. 50–69. Springer (2013)

  • Lenz, H.J., Thalheim, B.: A formal framework of aggregation for the OLAP-OLTP model. J. UCS 15(1), 273–303 (2009)

  • Liddle, S.W., Mayr, H.C., Pastor, O., Storey, V.C., Thalheim, B.: An LLM assistant for characterizing conceptual modeling research contributions. In: Advances in Conceptual Modeling. pp. 325–342. Springer Nature Switzerland, Cham (2024), https://link.springer.com/chapter/10.1007/978-3-031-75599-623

  • Lockemann, P.C., Mayr, H.C., Weil, W.H., Wohlleber, W.H.: Data abstractions for database systems. ACM Trans. Database Syst. 4(1), 60–75 (1979). https://doi.org/10.1145/320064.320067

  • Mahr, B.: Modelle und ihre Befragbarkeit – Grundlagen einer allgemeinen Modelltheorie. Erwägen-Wissen-Ethik (EWE) Vol. 26, Issue 3, 329–342 (2015)

  • Mahr, B.: Schriften zur Modellforschung. Edited by K. Robering. Brill Mentis, Michaelisbund (2021)

  • Mayr, H.C., Kop, C.: Conceptual predesign – bridging the gap between requirements and conceptual design. In: 3rd Int. Conf. on Requirements Engineering (ICRE ’98). pp. 90–98. IEEE Computer Society (1998). https://doi.org/10.1109/ICRE.1998.667813

  • Mayr, H.C., Michael, J., Ranasinghe, S., Shekhovtsov, V.A., Steinberger, C.: Model centered architecture. In: Conceptual Modeling Perspectives. pp. 85–104. Springer (2017). https://doi.org/10.1007/978-3-319-67271-7\_7

  • Mayr, H.C., Ram, S., Reisig, W., Stumptner, M.: Next generation domain specific conceptual modeling: Principles and methods (dagstuhl seminar 18471). Dagstuhl Reports 8(11), 63–90 (2018). https://doi.org/10.4230/DAGREP.8.11.63

  • Mayr, H.C., Storey, V., Thalheim, B.: Meaning and semantics in conceptual modeling: An indepth study (2024), Under evaluation

  • Mayr, H.C., Thalheim, B.: The triptych of conceptual modeling. Softw. Syst. Model. 20(1), 7–24 (2021). https://doi.org/10.1007/s10270-020-00836-z

  • Mayr, H.C., Thalheim, B.: Editorial: Model-centered software and system development. Frontiers Comput. Sci. 5 (2023). https://doi.org/10.3389/FCOMP.2023.1326413

  • Mayr, H.C., Thalheim, B.: Conceptual modeling: A still unfinished Saga. About prejudices, aberrations, solutions and challenges. Informing Possible Future Worlds pp. 103–122 (2024). https://doi.org/https://doi.org/10.30819/5768

  • Mayr, H.C., Thalheim, B.: Fundamentals of conceptual modeling. In: Enterprise De- sign, Operations, and Computing. pp. 301–324. LNBIP, Springer Nature Switzerland, Cham (2025)

  • Michael, J., Bork, D., Wimmer, M., Mayr, H.C.: Quo vadis modeling? Findings of a community survey, an ad-hoc bibliometric analysis, and expert interviews on data, process, and software modeling. Software and Systems Modeling 23(1), 7–28 (2024)

  • Moody, D.: The “physics” of notations: Toward a scientific basis for constructing visual notations. IEEE Trans. on Software Engineering 35,6, 756–779 (2009)

  • Murphy, G.L.: The big book of concepts. MIT Press (2001)

  • OMG Object Mangement Group: OMG Meta Object Facility (MOF) core specification, version 2.5.1 (2019), https://www.omg.org/spec/MOF/2.5.1/PDF, , accessed on 2024-05-04

  • Paczona, M., Mayr, H.C.: Model-driven mechatronic system development. In: 15th IEEE International Conference on Automation Science and Engineering, CASE 2019, Vancouver, BC, Canada, August 22-26, 2019. pp. 1730–1736. IEEE (2019). https://doi.org/10.1109/COASE.2019.8843314

  • Prinz, A., Thalheim, B.: Operational semantics of transactions. In: ADC’2003. pp. 169 – 179. Australian Computer Science Communications, Vol 25, Number 2 (2003)

  • Purao, S., Storey, V.C.: A multi-layered ontology for comparing relationship semantics in conceptual models of databases. Appl. Ontology 1(1), 117–139 (2005)

  • Ramscar,  M.,  Yarlett,  D.:  Semantic  grounding  in  models  of  anal- ogy: an environmental approach. Cognitive Science 27(1), 41–71 (2003). https://doi.org/https://doi.org/10.1207/s15516709cog2701\_2

  • Recker, J., Lukyanenko, R., Jabbari, M., Samuel, B.M., Castellano, A.: From representation to mediation: a new agenda for conceptual modeling research in a digital world. MIS Quarterly 45(1), 269–300 (2020). https://doi.org/10.25300/MISQ/2021/16027

  • Reisig, W.: Associative composition of components with double-sided interfaces. Acta Informatica 56(3), 229–253 (2019). https://doi.org/10.1007/S00236-018-0328-7

  • Reisig, W.: Composition of component models – A key to construct big systems. In: Margaria, T., Steffen, B. (eds.) Leveraging Applications of Formal Methods, Verification and Validation: Engineering Principles. Lecture Notes in Computer Science, vol. 12477, pp. 171–188. Springer (2020). https://doi.org/10.1007/978-3-030-61470-6\_11

  • Rivera, J.E., Durán, F., Vallecillo, A.: Formal Specification and Analysis of Domain Specific Models Using Maude. SIMULATION 85(11-12), 778–792 (2009). https://doi.org/10.1177/0037549709341635

  • Rowe, L.A., Deutsch, L.P., Shaw, M., Thatcher, J.W., Mayr, H.C., Zilles, S.N., Hayes, P.J.: Types (discussion). In: Proc. of the Workshop on Data Abstraction, Databases and Conceptual Modelling, Pingree Park, Colorado, USA, June 23-26, 1980. vol. 11, pp. 43–52. ACM Press (1980). https://doi.org/10.1145/800227.806876

  • Schellhorn, G.: ASM refinement preserving invariants. Journal of Universal Computer Science 14(12), 1929–1948 (2008)

  • Smajevic, M., Bork, D.: From conceptual models to knowledge graphs: A generic model transformation platform. In: ACM/IEEE Int. Conf. on Model Driven Engineering Languages and Systems Companion MODELS. pp. 610–614. IEEE (2021)

  • Smith, J.M., Smith, D.C.P.: Database abstractions: Aggregation and generalization. ACM TODS 2(2), 105–133 (1977)

  • Stachowiak, H.: Allgemeine Modelltheorie. Springer (1973)

  • Stamper, R., Kecheng, L., Hafkamp, M., Ades, Y.: Understanding the roles of signs and norms in organisations – a semiotic approach to information systems design. Journal of Behaviour & Information Technology pp. 15–27 (2000)

  • Storey, V.C.: Comparing relationships in conceptual modeling: Mapping to semantic classifications. IEEE Trans. Knowl. Data Eng. 17(11), 1478–1489 (2005)

  • Storey, V.C., Thalheim, B.: Conceptual modeling: Enhancement through semiotics. In: Proc. ER’17. pp. 182–190. LNCS, 10650, Springer, Cham (2017)

  • Thalheim, B.: Entity-relationship modeling – Foundations of database technology. Springer, Berlin (2000)

  • Thalheim, B.: Towards a theory of conceptual modelling. Journal of Universal Com- puter Science 16(20), 3102–3137 (2010)

  • Thalheim, B.: Conceptual model notions – a matter of controversy; conceptual modelling and its lacunas. EMISA International Journal on Conceptual Modeling pp. 9–27 (February 2018)

  • Thalheim, B.: Models and modelling in computer science. In: Logic, Computation and Rigorous Methods. Lecture Notes in Computer Science, vol. 12750, pp. 301–325. Springer (2021)

  • Thalheim, B.: Models: The fourth dimension of computer science – towards studies of models and modelling. Software & Systems Modeling 21, 9–18 (2022)

  • Thalheim, B.: Modelology – the new science, life and practice discipline. In: Information Modelling and Knowledge Bases XXXV. Frontiers in Artificial Intelligence and Applications, vol. 380, pp. 1–19. IOS Press (2023)

  • van der Aalst, W., ter Hofstede, A., Kiepuszewski, B., Barros, A.: Workflow patterns. Distributed and Parallel Databases 14(1), 5–51 (2003). https://doi.org/10.1023/A:1022883727209

  • Vernadat, F.B.: Enterprise modelling: Research review and outlook. Comput. Ind. 122, 103265 (2020)

  • Voelter, M., Benz, S., Dietrich, C., Engelmann, B., Helander, M., Kats, L.C.L., Visser, E., Wachsmuth, G.: DSL Engineering – Designing, Implementing and Using Domain- Specific Languages. dslbook.org (2013), http://www.dslbook.org

  • Wegner, P., Goldin, D.Q.: Computation beyond Turing machines. Commun. ACM 46(4), 100–102 (2003)

  • Yu, E.: Social modelling and i*. Conceptual modeling: Foundations and applications. In: Conceptual Modeling: Foundations and Applications: Essays in Honor of John Mylopoulos. pp. 99–121 (2009). https://doi.org/10.1007/978-3-642-02463-4\_7

  • Zucker, J.D.: Semantic abstraction for concept representation and learning. In: Proceedings of the 4th International Workshop on Multistrategy Learning. pp. 157–164. Citeseer (1998)