Designing an Ontology for Physical Exercise Actions

  • Sandeep Kumar DashEmail author
  • Partha Pakray
  • Robert Porzel
  • Jan Smeddinck
  • Rainer Malaka
  • Alexander Gelbukh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10761)


Instructions for physical exercises leave many details underspecified that are taken for granted and inferred by the intended reader. For certain applications, such as generating virtual action visualizations from such textual instructions, advanced text processing is needed, requiring interpretation of both implicit and explicit information. This work presents an ontology that can support the semantic analysis of such instructions in order to support the identification of matching action constructs. The proposed ontology lays down a hierarchical structure following the human body structure along with various type of movement restrictions. This facilitates flexible yet adequate representations.


Ontology design Text processing Virtual action generation 



This research is supported by DST-DAAD Project Based Personnel Exchange Programme: an Indo-German Joint Research Collaboration (No. INT/FRG/DAAD/P-15/2016). The research reported in this paper has been partially supported by the German Research Foundation DFG, as part of Collaborative Research Center (Sonderforschungsbereich) 1320 “EASE - Everyday Activity Science and Engineering”, University of Bremen ( The research was conducted in subproject P01 “Embodied semantics for the language of action and change”.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Sandeep Kumar Dash
    • 1
    Email author
  • Partha Pakray
    • 2
  • Robert Porzel
    • 3
  • Jan Smeddinck
    • 3
  • Rainer Malaka
    • 3
  • Alexander Gelbukh
    • 4
  1. 1.National Institute of Technology MizoramAizawlIndia
  2. 2.National Institute of Technology SilcharSilcharIndia
  3. 3.Digital Media LabUniversity of BremenBremenGermany
  4. 4.CICInstituto Politécnico NacionalMexico CityMexico

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