Evaluating a Graph Query Language for Human-Robot Interaction Data in Smart Environments

Köster N, Wrede S, Cimiano P (2017)
In: Software Technologies. Applications and Foundations. STAF 2017. Collocated Workshops. Seidl M, Zschaler S (Eds); Lecture Notes in Computer Science, 10748. Cham: Springer: 263-279.

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Konferenzbeitrag | Veröffentlicht | Englisch
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Abstract / Bemerkung
Solutions for efficient querying of long-term human-robot interaction data require in-depth knowledge of the involved domains and represents a very difficult and error prone task due to the inherent (system) complexity. Developers require detailed knowledge with respect to the different underlying data schemata, semantic mappings, and, most importantly, the query language used by the storage system (e.g. SPARQL, SQL, or general-purpose language interfaces/APIs). While for instance database developers are familiar with technical aspects of query languages, application developers of interactive scenarios typically lack the specific knowledge to efficiently work with complex database management systems. Addressing this gap, in this paper we describe a model-driven software development based approach to create a long-term storage system to be employed in the domain of embodied interaction in smart environments (EISE). To support this, we created multiple domain specific languages using Jetbrains MPS to model the high level EISE domain, to represent the employed graph query language Cypher and to perform necessary model-to-model transformations. As main result, we present the EISE Query-Designer, a fully integrated workbench to facilitate data storage and retrieval by supporting and guiding developers in the query design process and allowing direct query execution without the need to have prior in-depth knowledge of the domain at hand. In this paper we report in detail on the study design, execution, first knowledge gained from our experiments, and lastly the lessons learned from the development process up to this point.
Erscheinungsjahr
Titel des Konferenzbandes
Software Technologies. Applications and Foundations. STAF 2017. Collocated Workshops
Band
10748
Seite
263 - 279
Konferenz
4th Workshop on Model-Driven Robot Software Engineering (MORSE)
Konferenzort
Marburg
Konferenzdatum
2017-07-17 – 2017-07-17
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Köster N, Wrede S, Cimiano P. Evaluating a Graph Query Language for Human-Robot Interaction Data in Smart Environments. In: Seidl M, Zschaler S, eds. Software Technologies. Applications and Foundations. STAF 2017. Collocated Workshops. Lecture Notes in Computer Science. Vol 10748. Cham: Springer; 2017: 263-279.
Köster, N., Wrede, S., & Cimiano, P. (2017). Evaluating a Graph Query Language for Human-Robot Interaction Data in Smart Environments. In M. Seidl & S. Zschaler (Eds.), Lecture Notes in Computer Science: Vol. 10748. Software Technologies. Applications and Foundations. STAF 2017. Collocated Workshops (pp. 263-279). Cham: Springer. doi:10.1007/978-3-319-74730-9_24
Köster, N., Wrede, S., and Cimiano, P. (2017). “Evaluating a Graph Query Language for Human-Robot Interaction Data in Smart Environments” in Software Technologies. Applications and Foundations. STAF 2017. Collocated Workshops, Seidl, M., and Zschaler, S. eds. Lecture Notes in Computer Science, vol. 10748, (Cham: Springer), 263-279.
Köster, N., Wrede, S., & Cimiano, P., 2017. Evaluating a Graph Query Language for Human-Robot Interaction Data in Smart Environments. In M. Seidl & S. Zschaler, eds. Software Technologies. Applications and Foundations. STAF 2017. Collocated Workshops. Lecture Notes in Computer Science. no.10748 Cham: Springer, pp. 263-279.
N. Köster, S. Wrede, and P. Cimiano, “Evaluating a Graph Query Language for Human-Robot Interaction Data in Smart Environments”, Software Technologies. Applications and Foundations. STAF 2017. Collocated Workshops, M. Seidl and S. Zschaler, eds., Lecture Notes in Computer Science, vol. 10748, Cham: Springer, 2017, pp.263-279.
Köster, N., Wrede, S., Cimiano, P.: Evaluating a Graph Query Language for Human-Robot Interaction Data in Smart Environments. In: Seidl, M. and Zschaler, S. (eds.) Software Technologies. Applications and Foundations. STAF 2017. Collocated Workshops. Lecture Notes in Computer Science. 10748, p. 263-279. Springer, Cham (2017).
Köster, Norman, Wrede, Sebastian, and Cimiano, Philipp. “Evaluating a Graph Query Language for Human-Robot Interaction Data in Smart Environments”. Software Technologies. Applications and Foundations. STAF 2017. Collocated Workshops. Ed. Martina Seidl and Steffen Zschaler. Cham: Springer, 2017.Vol. 10748. Lecture Notes in Computer Science. 263-279.

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