The Combined Approach to Query Answering in Horn-ALCHOIQ
From International Center for Computational Logic
The Combined Approach to Query Answering in Horn-ALCHOIQ
David CarralDavid Carral, Irina DragosteIrina Dragoste, Markus KrötzschMarkus Krötzsch
David Carral, Irina Dragoste, Markus Krötzsch
The Combined Approach to Query Answering in Horn-ALCHOIQ
In Michael Thielscher, Francesca Toni, Frank Wolter, eds., Proceedings of the 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018), 339-348, October 2018. AAAI Press
The Combined Approach to Query Answering in Horn-ALCHOIQ
In Michael Thielscher, Francesca Toni, Frank Wolter, eds., Proceedings of the 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018), 339-348, October 2018. AAAI Press
- KurzfassungAbstract
Combined approaches have become a successful technique for solving conjunctive query (CQ) answering over description logics (DL) ontologies. Nevertheless, existing approaches are restricted to tractable DL languages. In this work, we extend the combined method to the more expressive DL Horn-ALCHOIQ---a language for which CQ answering is ExpTime-complete---in order to develop an efficient and scalable CQ answering procedure which is worst-case optimal for Horn-ALCHOIQand ELHO ontologies. We implement and study the feasibility of our algorithm, and compare its performance to the DL reasoner Konclude. - Bemerkung: Note: This is an extended version of the paper with an additional appendix.
- Projekt:Project: DIAMOND, HAEC B08, Cfaed
- Forschungsgruppe:Research Group: Wissensbasierte SystemeKnowledge-Based Systems
@inproceedings{CDK2018,
author = {David Carral and Irina Dragoste and Markus Kr{\"{o}}tzsch},
title = {The Combined Approach to Query Answering in Horn-ALCHOIQ},
editor = {Michael Thielscher and Francesca Toni and Frank Wolter},
booktitle = {Proceedings of the 16th International Conference on Principles of
Knowledge Representation and Reasoning (KR 2018)},
publisher = {AAAI Press},
year = {2018},
month = {October},
pages = {339-348}
}