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|Title=Mining of EL-GCIs | |Title=Mining of EL-GCIs | ||
|To appear=0 | |||
|Year=2011 | |Year=2011 | ||
|Month= | |Month=Dezember | ||
|Booktitle=The 11th IEEE International Conference on Data Mining Workshops | |Booktitle=The 11th IEEE International Conference on Data Mining Workshops | ||
| | |Publisher=IEEE Computer Society | ||
|Organization= | |Organization= | ||
}} | }} | ||
{{Publikation Details | {{Publikation Details | ||
|Abstract=We consider an existing approach for mining general inclusion axioms written in the lightweight Description Logic EL. In comparison to classical association rule mining, this approach allows more complex patterns to be obtained. Ours is the first implementation of these algorithms for learning Description Logic axioms. We use our implementation for a case study on two real world datasets. We discuss the outcome and examine what further research will be needed for this approach to be applied in a practical setting. | |Abstract=We consider an existing approach for mining general inclusion axioms written in the lightweight Description Logic EL. In comparison to classical association rule mining, this approach allows more complex patterns to be obtained. Ours is the first implementation of these algorithms for learning Description Logic axioms. We use our implementation for a case study on two real world datasets. We discuss the outcome and examine what further research will be needed for this approach to be applied in a practical setting. | ||
|Download=BoDi-WDPM-2011.pdf | |Download=BoDi-WDPM-2011.pdf | ||
|Forschungsgruppe=Automatentheorie | |Forschungsgruppe=Automatentheorie | ||
|BibTex=@inproceedings{ BorDi11, | |BibTex=@inproceedings{ BorDi11, | ||
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author = {Daniel {Borchmann} and Felix {Distel} }, | author = {Daniel {Borchmann} and Felix {Distel} }, | ||
booktitle = {The 11th IEEE International Conference on Data Mining Workshops}, | booktitle = {The 11th IEEE International Conference on Data Mining Workshops}, | ||
month = { | month = {December}, | ||
publisher = {IEEE Computer Society}, | publisher = {IEEE Computer Society}, | ||
title = {Mining of $\mathcal{EL}$-GCIs}, | title = {Mining of $\mathcal{EL}$-GCIs}, | ||
Aktuelle Version vom 28. September 2015, 13:09 Uhr
Mining of EL-GCIs
Daniel BorchmannDaniel Borchmann, Felix DistelFelix Distel
Daniel Borchmann, Felix Distel
Mining of EL-GCIs
The 11th IEEE International Conference on Data Mining Workshops, December 2011. IEEE Computer Society
Mining of EL-GCIs
The 11th IEEE International Conference on Data Mining Workshops, December 2011. IEEE Computer Society
- KurzfassungAbstract
We consider an existing approach for mining general inclusion axioms written in the lightweight Description Logic EL. In comparison to classical association rule mining, this approach allows more complex patterns to be obtained. Ours is the first implementation of these algorithms for learning Description Logic axioms. We use our implementation for a case study on two real world datasets. We discuss the outcome and examine what further research will be needed for this approach to be applied in a practical setting. - Forschungsgruppe:Research Group: AutomatentheorieAutomata Theory
@inproceedings{ BorDi11,
address = {Vancouver, Canada},
author = {Daniel {Borchmann} and Felix {Distel}},
booktitle = {The 11th IEEE International Conference on Data Mining Workshops},
month = {December},
publisher = {IEEE Computer Society},
title = {Mining of $\mathcal{EL}$-GCIs},
year = {2011},
}
