Data Complexity of Reasoning in Very Expressive Description Logics. Hustadt, U., Motik, B., & Sattler, U. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI 2005) [Edinburg, Scotland, 30 July - 5 August 2005], pages 466-471, 2005. International Joint Conferences on Artificial Intelligence.
Paper abstract bibtex Data complexity of reasoning in description logics (DLs) estimates the performance of reasoning algorithms measured in the size of the ABox only. We show that, even for the very expressive DL SHIQ, satisfiability checking is data complete for NP. For applications with large ABoxes, this can be a more accurate estimate than the usually considered combined complexity, which is EXPTIMEcomplete. Furthermore, we identify an expressive fragment, Horn-SHIQ, which is data complete for P, thus being very appealing for practical usage.
@INPROCEEDINGS{Hustadt+Motik+Sattler@IJCAI2005,
AUTHOR = {Hustadt, Ullrich and Motik, Boris and Sattler, Ulrike},
TITLE = {Data Complexity of Reasoning in Very Expressive
Description Logics},
BOOKTITLE = {Proceedings of the Nineteenth International
Joint Conference on Artificial Intelligence (IJCAI 2005)
[Edinburg, Scotland, 30 July - 5 August 2005]},
YEAR = {2005},
PAGES = {466-471},
PUBLISHER = {International Joint Conferences on
Artificial Intelligence},
CADDRESS = {Edinburgh, Scotland},
CYEAR = {2005},
CMONTH = jul # {~30--} # aug # {~5},
URL = {http://www.ijcai.org/papers/0326.pdf},
ABSTRACT = {<em>Data complexity</em> of reasoning in description logics
(DLs) estimates the performance of reasoning algorithms
measured in the size of the ABox only.
We show that, even for the very expressive DL
SHIQ, satisfiability checking is data complete for
NP. For applications with large ABoxes, this can
be a more accurate estimate than the usually considered
combined complexity, which is EXPTIMEcomplete.
Furthermore, we identify an expressive
fragment, Horn-SHIQ, which is data complete for P,
thus being very appealing for practical usage.}
}
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