Evaluating a Graph Query Language for Human-Robot Interaction Data in Smart Environments
Weitere Details
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.
Zitierstile
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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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.
Zitierstile
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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