On the Social Network Based Semantic Annotation of Conceptual Models

  • Hans-Georg Fill
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8793)


The semantic annotation of conceptual visual models permits to leverage the contained semantic information to a machine processable level. At the same time the intuitive and non-technical nature of graphical models can be maintained. Although this leads to direct benefits in terms of potential analysis functionalities, the addition of annotations for large model corpora requires quite some effort by the modelers. In order to contribute to the efficiency when adding semantic annotations, we propose an approach that links information on semantic annotations to information available from social network applications. In this way the addition of semantic annotations can be facilitated in terms of communication support, economic benefits, and technical opportunities. For the design of the approach we use a specifically developed modeling method, which allows to reason about the requirements at a high abstraction level and permits to add more formal specifications, e.g. to define behavior. A first prototype of the modeling method has been implemented using the freely available ADOxx meta modeling platform based on the SeMFIS toolkit.


Semantic annotation Conceptual Model Social Network Application Meta Modeling ADOxx 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Becker, J., Delfmann, P., Herwig, S., Lis, L., Stein, A.: Towards Increased Comparability of Conceptual Models - Enforcing Naming Conventions through Domain Thesauri and Linguistic Grammars. In: ECIS 2009, Verona, Italy (2009)Google Scholar
  2. 2.
    Betz, S., Klink, S., Koschmider, A., Oberweis, A.: Automatic user support for business process modeling. In: Workshop Semantics for Business Process Management, Budva, Montenegro (2006)Google Scholar
  3. 3.
    Boyd, D.M., Ellison, N.B.: Social Network Sites: Definition, History, and Scholarship. Journal of Computer-Mediated Communication 13, 210–230 (2008)CrossRefGoogle Scholar
  4. 4.
    Demirkan, H., Kauffman, R.J., Vayghan, J.A., Fill, H.-G., Karagiannis, D., Maglio, P.P.: Service-oriented technology and management: Perspectives on research and practice for the coming decade. Electronic Commerce Research and Applications 7(4), 356–376 (2008)CrossRefGoogle Scholar
  5. 5.
    Drumm, C., Lemcke, J., Namiri, K.: Integrating semantic web services and business process management: A real use case. In: Semantics for Business Process Management 2006, Budva, Montenegro (2006)Google Scholar
  6. 6.
    Ehrig, M., Koschmider, A., Oberweis, A.: Measuring Similarity between Semantic Business Process Models. In: Roddick, J.F., Hinze, A. (eds.) APCCM 2007, vol. 67, pp. 71–80. ACM (2007)Google Scholar
  7. 7.
    Facebook: Facebook Developers - Graph API (2011),
  8. 8.
    Fill, H.G.: Design of Semantic Information Systems using a Model-based Approach. In: AAAI Spring Symposium. AAAI, Stanford University (2009)Google Scholar
  9. 9.
    Fill, H.G.: Visualisation for Semantic Information Systems. Gabler (2009)Google Scholar
  10. 10.
    Fill, H.G.: An Approach for Analyzing the Effects of Risks on Business Processes Using Semantic Annotations. In: Proceedings of ECIS 2012. AIS (2012)Google Scholar
  11. 11.
    Fill, H.G.: SeMFIS: A Tool for Managing Semantic Conceptual Models. In: Kern, H., Tolvanen, J.P., Bottoni, P. (eds.) GMLD Workshop (2012)Google Scholar
  12. 12.
    Fill, H.G., Burzynski, P.: Integrating Ontology Models and Conceptual Models using a Meta Modeling Approach. In: 11th International Protégé Conference, Amsterdam (2009)Google Scholar
  13. 13.
    Fill, H.G., Karagiannis, D.: On the Conceptualisation of Modelling Methods Using the ADOxx Meta Modelling Platform. Enterprise Modelling and Information Systems Architectures 8(1), 4–25 (2013)CrossRefGoogle Scholar
  14. 14.
    Fill, H.-G., Redmond, T., Karagiannis, D.: FDMM: A Formalism for Describing ADOxx Meta Models and Models. In: Proceedings of ICEIS 2012, Wroclaw, Poland, vol. 3, pp. 133–144 (2012)Google Scholar
  15. 15.
    Fill, H.-G., Reischl, I.: An Approach for Managing Clinical Trial Applications Using Semantic Information Models. In: Rinderle-Ma, S., Sadiq, S., Leymann, F. (eds.) BPM 2009. Lecture Notes in Business Information Processing, vol. 43, pp. 581–592. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  16. 16.
    Fill, H.G., Tudorache, T.: On the Collaborative Formalization of Agile Semantics Using Social Network Applications. In: AAAI Spring Symposium 2011 - AI for Business Agility. AAAI (2011)Google Scholar
  17. 17.
    Harel, D., Rumpe, B.: Modeling Languages: Syntax, Semantics and All That Stuff - Part I: The Basic Stuff. Tech. Rep. MCS00-16, The Weizmann Institute of Science (August 22, 2000)Google Scholar
  18. 18.
    Hepp, M., Leymann, F., Domingue, J., Wahler, A., Fensel, D.: Semantic business process management: a vision towards using semantic Web services for business process management. In: ICEBE Conference 2005, pp. 535–540 (2005)Google Scholar
  19. 19.
    Herbst, J., Junginger, S., Kuehn, H.: Simulation in Financial Services with the Business Process Management System ADONIS. In: 9th European Simulation Symposium (ESS 1997). Society for Computer Simulation (1997)Google Scholar
  20. 20.
    Horrocks, I., Patel-Schneider, P., Van Harmelen, F.: From SHIQ and RDF to OWL: The Making of a Web Ontology Language. Web Semantics: Science, Services and Agents on the World Wide Web 1(1), 7–26 (2003)CrossRefGoogle Scholar
  21. 21.
    Hsieh, M.H., Magee, C.L.: A new method for finding hierarchical subgroups from networks. Social Networks 32, 234–244 (2010)CrossRefGoogle Scholar
  22. 22.
    Ibanez, M.J., Alvarez, P., Bhiri, S., Ezpeleta, J.: Unary RDF-Annotated Petri Nets: A Formalism for the Modeling and Validation of Business Processes with Semantic Information. In: SBPM 2009 Workshop. ACM (2009)Google Scholar
  23. 23.
    Karagiannis, D., Kühn, H.: Metamodelling platforms. In: Bauknecht, K., Min Tjoa, A., Quirchmayr, G. (eds.) EC-Web 2002. LNCS, vol. 2455, p. 182. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  24. 24.
    Lewis, K., Kaufman, J., Gonzalez, M., Wimmer, A., Christakis, N.: Tastes, ties, and time: A new social network dataset using Social Networks 30, 330–342 (2008)CrossRefGoogle Scholar
  25. 25.
    List, B., Korherr, B.: An evaluation of conceptual business process modelling languages. In: SAC 2006. ACM, Dijon (2006)Google Scholar
  26. 26.
    Moser, C., Bayer, F.: IT Architecture Management: A Framework for IT Services. In: Desel, J., Frank, U. (eds.) EMISA Workshop, Klagenfurt, Austria. LNI (2005)Google Scholar
  27. 27.
    Mylopoulos, J.: Conceptual Modeling and Telos. In: Loucopoulos, P., Zicari, R. (eds.) Conceptual Modelling, Databases and CASE: An Integrated View of Information Systems Development, pp. 49–68. Wiley (1992)Google Scholar
  28. 28.
    Nazir, A., Raza, S., Chuah, C.N.: Unveiling facebook: A measurement study of social network based applications. In: IMC 2008. ACM, Vouliagmeni (2008)Google Scholar
  29. 29.
    Obrst, L.: Ontologies for semantically interoperable systems. In: Proceedings of the 12th International Conference on Information and Knowledge Management. ACM Press, New Orleans (2003)Google Scholar
  30. 30.
    Wand, Y., Weber, R.: Research Commentary: Information Systems and Conceptual Modeling - A Research Agenda. Information Systems Research 13(4), 363–376 (2002)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Hans-Georg Fill
    • 1
  1. 1.RG Knowledge EngineeringUniversity of ViennaViennaAustria

Personalised recommendations