Event-Driven Rule-Based Reasoning using EYE
Ontologies and reasoning algorithms are considered a promising approach to create decision making applications. Rule-based reasoning systems have the advantage that rule sets can be managed and applied separately, which facilitates the custom configuration of those systems. However, current implementations of rule-based reasoning systems usually introduce a trade-off between expressiveness and performance, which either deteriorates the configurability of the application, or limits its performance in an event-driven system. In this paper, we devise an event-driven rule-based reasoning system that preserves its expressiveness. We devise an automatic nurse call system that is able to handle hard time constraints without limiting the possibilities of the reasoner, and list the encountered problems together with their suggested solutions. We achieve reasonable performance in small-scale environments when evaluating this system using N3 rules and the EYE reasoner. We however observe that a large dynamic database limits the performance of the system, because of the file-based nature of the EYE reasoner. As long as no in-memory reasoning is supported, the performance of the resulting system cannot compete with the state of the art. However, the linear scaling of the proposed expressive solution is promising.
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Published in 2015 in Joint Proceedings of the 1st Joint International Workshop on Semantic Sensor Networks and Terra Cognita and the 4th International Workshop on Ordering and Reasoning.
- constraints
- reasoning
- rules
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Cite this article easily using its BibTeX entry:
@inproceedings{demeester_ordring_2015,
author = {De Meester, Ben and Arndt, D\"orthe and Bonte, Pieter and Bhatti, Jabran and Dereuddre, Wim and Verborgh, Ruben and Ongenae, Femke and De Turck, Filip and Mannens, Erik and Van de Walle, Rik},
booktitle = {Joint Proceedings of the 1st Joint International Workshop on Semantic Sensor Networks and Terra Cognita and the 4th International Workshop on Ordering and Reasoning},
title = {Event-Driven Rule-Based Reasoning using {EYE}},
year = 2015,
month = oct,
series = {CEUR Workshop Proceedings},
volume = 1488,
pages = {75--86},
issn = {1613-0073},
url = {http://ceur-ws.org/Vol-1488/paper-08.pdf},
}
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- Ben De Meester, Dörthe Arndt, Pieter Bonte, Jabran Bhatti, Wim Dereuddre, Ruben Verborgh, Femke Ongenae, Filip De Turck, Erik Mannens, and Rik Van de Walle. 2015. Event-Driven Rule-Based Reasoning using EYE. In Joint Proceedings of the 1st Joint International Workshop on Semantic Sensor Networks and Terra Cognita and the 4th International Workshop on Ordering and Reasoning (CEUR Workshop Proceedings), 75–86.
- APA
- De Meester, B., Arndt, D., Bonte, P., Bhatti, J., Dereuddre, W., Verborgh, R., Ongenae, F., De Turck, F., Mannens, E., & Van de Walle, R. (2015). Event-Driven Rule-Based Reasoning using EYE. Joint Proceedings of the 1st Joint International Workshop on Semantic Sensor Networks and Terra Cognita and the 4th International Workshop on Ordering and Reasoning, 1488, 75–86.
- IEEE
- B. De Meester et al., “Event-Driven Rule-Based Reasoning using EYE,” in Joint Proceedings of the 1st Joint International Workshop on Semantic Sensor Networks and Terra Cognita and the 4th International Workshop on Ordering and Reasoning, 2015, vol. 1488, pp. 75–86.
- LNCS
- De Meester, B., Arndt, D., Bonte, P., Bhatti, J., Dereuddre, W., Verborgh, R., Ongenae, F., De Turck, F., Mannens, E., Van de Walle, R.: Event-Driven Rule-Based Reasoning using EYE. In: Joint Proceedings of the 1st Joint International Workshop on Semantic Sensor Networks and Terra Cognita and the 4th International Workshop on Ordering and Reasoning. pp. 75–86 (2015).
- MLA
- De Meester, Ben, et al. “Event-Driven Rule-Based Reasoning Using EYE.” Joint Proceedings of the 1st Joint International Workshop on Semantic Sensor Networks and Terra Cognita and the 4th International Workshop on Ordering and Reasoning, vol. 1488, 2015, pp. 75–86.
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