Abstract
In many smart environments including smart homes, human machine interactions are crucial. Being able to describe, store and query interaction data is an important feature. This especially gains importance when artificial embodied agents (i.e. robotic companions) are present. In order to support querying interaction data at a conceptual level, abstracting from specific and heterogeneous data schemata, this paper presents an ontology for the domain of interaction. To model the interaction domain, the ontology imports two pre-existing ontologies: the Semantic Sensor Network Ontology and the Time Ontology. The ontology further includes interaction-relevant concepts as they occur in smart homes but also in other embodied interactive smart environments. Also, a reference application is described for a data management and query system for interaction data that builds on this ontology. The goal is to support the easy querying of interaction concepts both by machine agents but also by developers of applications running in smart environments. Therefore, further exemplary queries are provided to show the retrieval capabilities of a system that uses the ontology as a proof-of-concept.
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Acknowledgements
This research/work was supported by the Cluster of Excellence Cognitive Interaction Technology ‘CITEC’ (EXC 277) at Bielefeld University, which is funded by the German Research Foundation (DFG).
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Köster, N., Wrede, S., Cimiano, P. (2018). An Ontology for Modelling Human Machine Interaction in Smart Environments. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-56991-8_25
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DOI: https://doi.org/10.1007/978-3-319-56991-8_25
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