EROSS seminars take place every Wednesday until the 39th International Conference on Conceptual Modeling (ER 2020). Live seminars are presented on Microsoft Teams and recorded for later access. Each seminar is scheduled to last for 1 hour and will be followed by 30 minutes of Q&A.

  • In the upcoming seminars section, you will find the next events scheduled in the series. To attend a seminar, click on the link in its title. Links will be published shortly before the start of the event.
  • In the previous seminars section, you will find the recordings, slides, and suggested references from past talks.

If you have any questions, head over to our FAQ or send an e-mail to eross2020@unibz.it.

Upcoming Seminars

DateSpeakerPresentation
September 23rd
16:00 CEST
Juan Carlos Trujillo
University of Alicante, Spain
Conceptual Modeling meets Machine Learning in the Data and Key Performance Indicators (KPIs) Analytics
September 30th
16:00 CEST
Yair Wand
University of British Columbia, Canada
Classification and Scientific Theories
October 14th
16:00 CEST
Maurizio Lenzerini
Sapienza Università di Roma, Italy
TBD
October 28th
16:00 CEST
Peter Chen
Carnegie Mellon University, USA
TBD

Previous Seminars

DateSpeakerTitle
June 24th
16:00 CEST
Nicola Guarino
Laboratory for Applied Ontology, ISTC-CNR, Italy
Ontological Analysis and Conceptual Modelling: Why and How
July 1st
16:00 CEST
John Mylopoulos
University of Ottawa, Canada
Philosophical Foundations of Conceptual Modelling: What is a Conceptual Model?
July 8th
16:00 CEST
Oscar Pastor
Polytechnic University of Valencia, Spain
Conceptual Modeling and Life Engineering: The Two Sides of the Same Coin?
July 15th
16:00 CEST
Monique Snoeck
KU Leuven, Belgium
How a Conceptual Data Model is a Process Model Too
July 22nd
16:00 CEST
Gilberto Camara
Group on Earth Observations (GEO), Switzerland
Ontological Issues in Big Earth Observation Data Analysis
July 29th
16:00 CEST
Barend Mons
Leiden University Medical Center, The Netherlands
The FAIR Guiding Principles in Times of Crisis
August 5th
16:00 CEST
Daniel Jackson
MIT, USA
Design by Concept: A New Way to Think About Software
August 12th
16:00 CEST
Melanie Mitchell
Santa Fe Institute, USA
Conceptual Abstraction and Analogy in Artificial Intelligence
August 19th
16:00 CEST
Sudha Ram
University of Arizona, USA
Leveraging Artificial Intelligence and Big Data to Create Value
August 26th
16:00 CEST
Christiane Fellbaum
Princeton University, USA
What the Lexicon Can(not) Tell Us About Conceptual Organization
September 2nd
16:00 CEST
Wil van der Aalst
RWTH Aachen University, Germany
Adding Objects and Probabilities to Process Mining
September 9th
16:00 CEST
Terry Halpin
International Independent Data Modeling Consultant
Reference Scheme Modelling
September 16th
16:00 CEST
Peter Gärdenfors
Lund University, Sweden
Conceptual Spaces, Cognitive Semantics and Robotics

Nicola Guarino: “Ontological Analysis and Conceptual Modelling: Why and How”

By Nicola Guarino, Laboratory for Applied Ontology, ISTC, CNR, Italy

Multimedia:
Bibliography:

Back to previous seminars.

John Mylopoulos: “Philosophical Foundations of Conceptual Modelling: What is a Conceptual Model?”

By John Mylopoulos, University of Ottawa, Canada

Multimedia:
Bibliography:
  • Abrial J-R., “Data Semantics”, in Klimbie J. and Koffeman K. (eds) Data Management Systems, North-Holland, 1972. 
  • Atzeni P., Ceri S., Paraboschi S., Torlone R., Database Systems: Concepts, Languages and Architectures, The McGraw-Hill Companies, 1999. 
  • Baader F., Calvanese D., McGuiness D., The Description Logic Handbook: Theory, Implementation, Applications, Cambridge University Press, 2003. 
  • Borgida A., ElRakaiby Y., Ferrari A., Mylopoulos J., “A Refinement Calculus for Requirements Engineering based on Argumentation Theory”, submitted for publication. 
  • Brachman, R., “What’s in a Concept: Structural Foundations for Semantic Networks”. International Journal of Man-Machine Studies 9(2), 127–152, 1977. 
  • Chen P., “The Entity-Relationship Model: Towards a Unified View of Data“, ACM Transactions on Database Systems 1(1), 9-36, 1976.
  • Dahl O-J., Myhrhaug B., “Some Features of the Simula 67 Language” 2nd Conference on Applications of Simulations. 29–31, 1968.
  • Dardenne A., van Lamsweerde A., Fickas S., “Goal–directed Requirements  Acquisition”, Science of Computer Programming, 20, 1993. 
  • Delcambre L., Liddle S., Pastor O., Storey V., “A Reference Framework for Conceptual Modeling”, International Conference on Conceptual Modeling, Springer, 2018. 
  • Dung, P.M.: On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games. AI Journal 77(2), 321–357 (1995)
  • Fodor, J. (1975). The Language of Thought, Cambridge, MA: Harvard University Press. 
  • Greenspan S., Mylopoulos J., Borgida A., “Capturing More World Knowledge in the Requirements Specification”, 6th International Conference on Software Engineering, Kyoto, 1982. 
  • Guarino N., Guizzardi G., Mylopoulos J., “On the Philosophical Foundations of Conceptual Models”, 29th European-Japanese Conference (EJC’19), Lappenranta Finland, June 2019. 
  • Hammer M., McLeod D., “The Semantic Data Model: A Modelling Mechanism for Database Applications”, ACM SIGMOD Conference, 1978. 
  • Kuipers B., Modelling and Simulation with Incomplete Knowledge, MIT Press, 1994. 
  • Levesque H., Mylopoulos J., “A Procedural Semantics for Semantic Networks”. in Associative Networks: Representation and Use of Knowledge by Computers, 93–120, 1979. 
  • [MacKay19] serc.carleton.edu/sp/library/conceptualmodels/index.html. 
  • Minsky M., “A Framework for Representing Knowledge”, memo no.306, AI Lab, MIT, 1974. 
  • Mylopoulos J., “Information Modeling in the Time of the Revolution”, Information Systems 23(3-4), 1998. 
  • Page S., The Model Thinker, Basic Books, 2018. 
  • Quillian R., “Semantic Memory”, in Minsky M. (ed.) Semantic Information Processing, MIT Press,1968. 
  • Ross D., “Structured Analysis (SA): A Language for Communicating Ideas”. IEEE Transactions on Software Engineering 3(1), 16–34, 1977. 
  • Roussopoulos N and Mylopoulos J., “Using Semantic Networks for Database Management”, First Very Large Databases Conference, Austin, 1975. 
  • “Concepts”, Stanford Encyclopedia of Philosophy, 2005. 
  • “Associationist Theories of Thought”, Stanford Encyclopedia of Philosophy, 2018. 
  • Simon H., The Sciences of the Artificial, MIT Press 1969. 
  • Yu E., “Towards Modelling and Reasoning Support for Early Phase Requirements Engineering”, 3rd IEEE International Symposium on Requirements Engineering, Annapolis, January 1997. 
  • Wittgenstei, L.,  Philosophical Investigations, Oxford Blackwell, 3rd edition, 1953.

Back to previous seminars.

Oscar Pastor: “Conceptual Modeling and Life Engineering: The Two Sides of the Same Coin?”

By Oscar Pastor, Polytechnic University of Valencia, Spain

Multimedia:
Bibliography:

Back to previous seminars.

Monique Snoeck: “How a Conceptual Data Model is a Process Model Too”

By Monique Snoeck, KU Leuven, Belgium

Multimedia:
Bibliography:

The speaker’s complete bibliography is available here.

Back to previous seminars.

Gilberto Camara: “Ontological Issues in Big Earth Observation Data Analysis”

By Gilberto Camara, Group on Earth Observations (GEO), Switzerland.

Multimedia:

Bibliography:

  • Smith, B., Mark, D.M., 2003. Do Mountains Exist? Towards an Ontology of Landforms. Environ Plann B Plann Des 30, 411–427. https://doi.org/10.1068/b12821
  • Smith, B., Varzi, A.C., 2000. Fiat and Bona Fide Boundaries. Philosophy and Phenomenological Research 60, 401–420. https://doi.org/10.2307/2653492
  • Grenon, P., Smith, B., 2004. SNAP and SPAN: Towards Dynamic Spatial Ontology. Spatial Cognition & Computation 4, 69–104. https://doi.org/10.1207/s15427633scc0401_5
  • Galton, A., 2004. Fields and Objects in Space, Time, and Space-time. Spatial Cognition & Computation 4, 39–68. https://doi.org/10.1207/s15427633scc0401_4
  • Galton, A., Mizoguchi, R., 2009. The water falls but the waterfall does not fall: New perspectives on objects, processes and events. Applied Ontology 4, 71–107. https://doi.org/10.3233/AO-2009-0067
  • Comber, A., Fisher, P., Wadsworth, R., 2005. What is Land Cover? Environ Plann B Plann Des 32, 199–209. https://doi.org/10.1068/b31135
  • Chazdon, R.L., others, 2016. When is a forest a forest? Forest concepts and definitions in the era of forest and landscape restoration. Ambio 45, 538–50. https://doi.org/10.1007/s13280-016-0772-y
  • Fonseca, F.T., Egenhofer, M.J., Agouris, P., Camara, G., 2002. Using Ontologies for Integrated Geographic Information Systems. Transactions in GIS 6, 231–257. https://doi.org/10.1111/1467-9671.00109
  • Câmara, G., Egenhofer, M.J., Fonseca, F., Vieira Monteiro, A.M., 2001. What’s in an Image?, in: Montello, D.R. (Ed.), Spatial Information Theory, Lecture Notes in Computer Science. Springer, Berlin, Heidelberg, pp. 474–488. https://doi.org/10.1007/3-540-45424-1_32
  • Camara, G., Egenhofer, M.J., Ferreira, K., Andrade, P., Queiroz, G., Sanchez, A., Jones, J., Vinhas, L., 2014. Fields as a generic data type for big spatial data, in: Geographic Information Science. Springer Verlag, pp. 159–172. https://doi.org/10.1007/978-3-319-11593-1_11
  • Camara, G., 2020. On the semantics of big Earth observation data for land classification. Journal of Spatial Information Science 2020, 21–34. https://doi.org/10.5311/JOSIS.2020.20.645

Barend Mons: “The FAIR Guiding Principles in Times of Crisis”

By Barend Mons, Leiden University Medical Center, The Netherlands.

Multimedia:

Bibliography: The seminar’s bibliography will soon be updated.

Daniel Jackson: “Design by Concept: A New Way to Think About Software”

By Daniel Jackson, MIT, USA.

Multimedia:

Bibliography: The seminar’s bibliography will soon be updated.

Melanie Mitchell: “Conceptual Abstraction and Analogy in Artificial Intelligence”

By Melanie Mitchell, Santa Fe Institute, USA

Multimedia:

Bibliography:

Sudha Ram: “Leveraging Artificial Intelligence and Big Data to Create Value”

By Sudha Ram, University of Arizona, USA.

Multimedia:

Bibliography:

  • S. Ram, W. Zhang, M. Williams and Y. Pengetnze, “Predicting Asthma-Related Emergency Department Visits Using Big Data,” in IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 4, pp. 1216-1223, July 2015, doi: 10.1109/JBHI.2015.2404829.
  • Y.Wang, and S.Ram, “Prediction of Location Based Sequential Purchasing Events Using Spatial, Temporal and Social Patterns”, in IEEE Intelligent Systems, Special Issue on Big Data and Predictive Analytics,  May/June 2015 pp. 2-9.
  • V. Khatri, Sudha Ram, R. Snodgrass, P Terenziani, “Differentiating Telic-Atelic Data Semantics in Conceptual Design”,  IEEE Transactions on Knowledge and Data Engineering, Vol. 26, No. 3, 2014, pp. 528-548.
  • S. Ram and J. Liu, “A Semantic Foundation for Provenance Management”,  Journal on Data Semantics,  Vol 1, No. 1, May 2012, pp. 11-17.
  • F. Currim and S. Ram, “Modeling Spatial and Temporal Set-Based Constraints During Conceptual Database Design”, Information Systems Research, March 2012, Vol 23, pp. 109-128.
  • F. Currim and S. Ram,  “Conceptually Modeling Windows and Bounds for Space and Time in Database Constraints”, Communications of the ACM, Vol 55, No. 11, pp. 125-129, November 2008.
  • S. Ram, W. Wei and K.P. Zhang, “Linking Biological Databases Semantically for Knowledge Discovery”, Lecture Notes in Computer Science 5232, Springer 2008, pp. 22-32.
  • S. Ram and J. Park, “Semantic Conflict  Resolution Ontology (SCROL): An Ontology for Detecting and Resolving Data- and  Schema-Level Semantic Conflicts”, IEEE Transactions on Knowledge and Data Engineering,Volume 16, No. 2, February 2004, pp. 189-203.
  • F. Currim, S.Ram, “Understanding Semantic Completeness in Rule Frameworks for Modeling Cardinality Constraints”, International Journal on Conceptual Modeling – EMISA, Special issue tribute to Heinrich Mayr”, Vol. 13, January 2018, pp. 293-315.
  • F. Currim and S. Ram, “When Entities are Types: Effectively Modeling Type-Instantiation Relationships”,  Lecture Notes in Computer Science 6413, 2010, pp. 138-147.

Christiane Fellbaum: “What the Lexicon Can(not) Tell Us About Conceptual Organization”

By Christiane Fellbaum, Princeton University, USA.

Multimedia:

Bibliography: To be updated.

Wil van der Aalst: “Adding Objects and Probabilities to Process Mining”

By Wil van der Aalst, RWTH Aachen University, Germany.

Multimedia:

Bibliography:

  • W.M.P. van der Aalst. Object-Centric Process Mining: Dealing With Divergence and Convergence in Event Data. In Software Engineering and Formal Methods (SEFM 2019), volume 11724 of Lecture Notes in Computer Science, pages 3–25. Springer-Verlag, Berlin, 2019.
  • W.M.P. van der Aalst and A. Berti. Discovering Object-Centric Petri Nets. Fundamenta Informaticae (to appear), 2020.
  • W.M.P. van der Aalst. Process Mining: Data Science in Action. Springer-Verlag, Berlin, 2016. http://www.springer.com/978-3-662-49850-7
  • S.J.J. Leemans, A.F. Syring, and W.M.P. van der Aalst. Earth Movers’ Stochastic Conformance Checking. In T.T. Hildebrandt, B.F. van Dongen, M. Röglinger, and J. Mendling, editors, Business Process Management Forum (BPM Forum 2019), volume 360 of Lecture Notes in Business Information Processing, pages 127-143. Springer-Verlag, Berlin, 2019.
  • W.M.P. van der Aalst. Process Mining and Simulation: A Match Made in Heaven! In A. D’Ambrogio and G. Zacharewicz, editors, Computer Simulation Conference (SummerSim 2018), pages 1-12. ACM Press, 2018.
  • A. Rozinat, R.S. Mans, M. Song, and W.M.P. van der Aalst. Discovering Simulation Models. Information Systems, 34(3):305-327, 2009.
  • W.M.P. van der Aalst, A. Adriansyah, and B. van Dongen. Replaying History on Process Models for Conformance Checking and Performance Analysis. WIREs Data Mining and Knowledge Discovery, 2(2):182-192, 2012.

Terry Halpin: “Reference Scheme Modelling”

By Terry Halpin, International Independent Data Modeling Consultant.

Multimedia:

Bibliography:

  • Halpin, T. 2019, ‘Reference Scheme Modeling’, New Perspectives on Information Systems Modeling and Design, IGI Global, Hershey, pp. 227-254.
  • Halpin, T. & Morgan T. 2008, Information Modeling and Relational Databases, 2nd edition, Morgan Kaufmann.
  • Halpin, T. 2015, Object-Role Modeling Fundamentals, Technics Publications, NJ. Halpin, T. 2016, Object-Role Modeling Workbook. Technics Publications. NJ.

Peter Gärdenfors: “Conceptual Spaces, Cognitive Semantics and Robotics”

By Peter Gärdenfors, Lund University, Sweden.

Multimedia:

Bibliography: To be updated.