• DocumentCode
    606450
  • Title

    SP-ACT: A hybrid framework for complex activity recognition combining OWL and SPARQL rules

  • Author

    Meditskos, Georgios ; Dasiopoulou, Stamatia ; Efstathiou, Vasiliki ; Kompatsiaris, Ioannis

  • Author_Institution
    Inf. Technol. Inst., Centre of Res. & Technol. Hellas, Thermi-Thessaloniki, Greece
  • fYear
    2013
  • fDate
    18-22 March 2013
  • Firstpage
    25
  • Lastpage
    30
  • Abstract
    In this paper we describe SP-ACT, a hybrid framework for the derivation of high-level activity interpretations in context-aware environments, by defining a combination of OWL ontologies and SPARQL CONSTRUCT graph patterns. More specifically, the native semantics of OWL is used to formally represent and integrate activity-related information originated from different data sources, whereas SPARQL (SPIN) rules further aggregate activities so as to derive highlevel activity abstractions. The goal of the hybrid framework is to address the limitations of the ontology-based context modelling paradigm in domains that require the recognition of complex context elements, namely, the lack of support for (i) temporal reasoning and (ii) new named individual assertions.
  • Keywords
    SQL; graph theory; knowledge representation languages; ontologies (artificial intelligence); temporal reasoning; ubiquitous computing; OWL ontology; SP-ACT; SPARQL CONSTRUCT graph pattern; SPARQL rule; SPIN rule; activity abstraction; activity-related information; complex activity recognition; complex context element; context-aware environment; data source; high-level activity interpretation; hybrid framework; native semantics; ontology-based context modelling paradigm; temporal reasoning; Cognition; Context; Context modeling; OWL; Ontologies; Semantics; Standards; OWL; SPARQL; activity recognition; context;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-5075-4
  • Electronic_ISBN
    978-1-4673-5076-1
  • Type

    conf

  • DOI
    10.1109/PerComW.2013.6529451
  • Filename
    6529451