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Towards an evaluation framework for expressive stream reasoning

Pieter Bonte (UGent) , Filip De Turck (UGent) and Femke Ongenae (UGent)
(2021) SEMANTIC WEB: ESWC 2021 SATELLITE EVENTS. In Lecture notes in computer science 12739. p.76-81
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Abstract
Stream Reasoning, and more particularly RDF Stream Processing (RSP), has focused on processing data streams in a timely manner, while expressive reasoning techniques, such as OWL2 DL, allow to fully model and interpret their domain knowledge. However, expressive reasoning techniques have thus far mostly focused on static data, as it tends to become slow with growing datasets. Expressive Stream Reasoning aims to combine these fields and evaluate expressive reasoning techniques in a timely manner over volatile data streams through various reasoning optimizations. Both expressive reasoning and RSP have benchmarks and frameworks for evaluating and comparing proposed solutions. However, no benchmarks or evaluation frameworks for Expressive Stream Reasoning are currently available. In this paper, we propose OWL2Streams, a resource framework for the evaluation of Expressive Stream Reasoning solutions. We identified challenges and opportunities for optimizations when dealing with expressive reasoning over the combination of streams and static data. OWL2Streams proposes three streaming scenarios, each tackling different challenges.
Keywords
Stream reasoning, Evaluation, Benchmark

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MLA
Bonte, Pieter, et al. “Towards an Evaluation Framework for Expressive Stream Reasoning.” SEMANTIC WEB: ESWC 2021 SATELLITE EVENTS, edited by R. Verborgh et al., vol. 12739, Springer, 2021, pp. 76–81, doi:10.1007/978-3-030-80418-3_14.
APA
Bonte, P., De Turck, F., & Ongenae, F. (2021). Towards an evaluation framework for expressive stream reasoning. In R. Verborgh, K. Hose, H. Paulheim, P.-A. Champin, M. Maleshkova, O. Corcho, … M. Alam (Eds.), SEMANTIC WEB: ESWC 2021 SATELLITE EVENTS (Vol. 12739, pp. 76–81). https://doi.org/10.1007/978-3-030-80418-3_14
Chicago author-date
Bonte, Pieter, Filip De Turck, and Femke Ongenae. 2021. “Towards an Evaluation Framework for Expressive Stream Reasoning.” In SEMANTIC WEB: ESWC 2021 SATELLITE EVENTS, edited by R. Verborgh, K. Hose, H. Paulheim, P.-A. Champin, M. Maleshkova, O. Corcho, P. Ristoski, and M. Alam, 12739:76–81. Springer. https://doi.org/10.1007/978-3-030-80418-3_14.
Chicago author-date (all authors)
Bonte, Pieter, Filip De Turck, and Femke Ongenae. 2021. “Towards an Evaluation Framework for Expressive Stream Reasoning.” In SEMANTIC WEB: ESWC 2021 SATELLITE EVENTS, ed by. R. Verborgh, K. Hose, H. Paulheim, P.-A. Champin, M. Maleshkova, O. Corcho, P. Ristoski, and M. Alam, 12739:76–81. Springer. doi:10.1007/978-3-030-80418-3_14.
Vancouver
1.
Bonte P, De Turck F, Ongenae F. Towards an evaluation framework for expressive stream reasoning. In: Verborgh R, Hose K, Paulheim H, Champin P-A, Maleshkova M, Corcho O, et al., editors. SEMANTIC WEB: ESWC 2021 SATELLITE EVENTS. Springer; 2021. p. 76–81.
IEEE
[1]
P. Bonte, F. De Turck, and F. Ongenae, “Towards an evaluation framework for expressive stream reasoning,” in SEMANTIC WEB: ESWC 2021 SATELLITE EVENTS, Online, 2021, vol. 12739, pp. 76–81.
@inproceedings{8715881,
  abstract     = {{Stream Reasoning, and more particularly RDF Stream Processing (RSP), has focused on processing data streams in a timely manner, while expressive reasoning techniques, such as OWL2 DL, allow to fully model and interpret their domain knowledge. However, expressive reasoning techniques have thus far mostly focused on static data, as it tends to become slow with growing datasets. Expressive Stream Reasoning aims to combine these fields and evaluate expressive reasoning techniques in a timely manner over volatile data streams through various reasoning optimizations. Both expressive reasoning and RSP have benchmarks and frameworks for evaluating and comparing proposed solutions. However, no benchmarks or evaluation frameworks for Expressive Stream Reasoning are currently available.

In this paper, we propose OWL2Streams, a resource framework for the evaluation of Expressive Stream Reasoning solutions. We identified challenges and opportunities for optimizations when dealing with expressive reasoning over the combination of streams and static data. OWL2Streams proposes three streaming scenarios, each tackling different challenges.}},
  author       = {{Bonte, Pieter and De Turck, Filip and Ongenae, Femke}},
  booktitle    = {{SEMANTIC WEB: ESWC 2021 SATELLITE EVENTS}},
  editor       = {{Verborgh, R. and Hose, K. and Paulheim, H. and Champin, P.-A. and Maleshkova, M. and Corcho, O. and Ristoski, P. and Alam, M.}},
  isbn         = {{9783030773847}},
  issn         = {{0302-9743}},
  keywords     = {{Stream reasoning,Evaluation,Benchmark}},
  language     = {{eng}},
  location     = {{Online}},
  pages        = {{76--81}},
  publisher    = {{Springer}},
  title        = {{Towards an evaluation framework for expressive stream reasoning}},
  url          = {{http://doi.org/10.1007/978-3-030-80418-3_14}},
  volume       = {{12739}},
  year         = {{2021}},
}
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