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On the Social Network Based Semantic Annotation of Conceptual Models

  • Conference paper
Knowledge Science, Engineering and Management (KSEM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8793))

Abstract

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.

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Author information

Authors and Affiliations

  1. RG Knowledge Engineering, University of Vienna, 1090, Vienna, Austria

    Hans-Georg Fill

Authors
  1. Hans-Georg Fill
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Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Knowledge Engineering Research Group, University of Vienna, Währingerstr. 29, 1090, Vienna, Austria

    Robert Buchmann

  2. Faculty of Engineering, Research Center for Sustainable Products and Processes, Lucian Blaga University of Sibiu, 10 Victoriei Blv., 550024, Sibiu, Romania

    Claudiu Vasile Kifor

  3. Department of Computer Science, Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Haidian District, 100044, Beijing, China

    Jian Yu

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© 2014 Springer International Publishing Switzerland

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Fill, HG. (2014). On the Social Network Based Semantic Annotation of Conceptual Models. In: Buchmann, R., Kifor, C.V., Yu, J. (eds) Knowledge Science, Engineering and Management. KSEM 2014. Lecture Notes in Computer Science(), vol 8793. Springer, Cham. https://doi.org/10.1007/978-3-319-12096-6_13

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  • DOI: https://doi.org/10.1007/978-3-319-12096-6_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12095-9

  • Online ISBN: 978-3-319-12096-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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