Reasoning with Probabilistic Ontologies
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Best Papers from Sister Conferences Track. Pages 4310-4315.
Abstract
Modeling real world domains requires ever more frequently to represent uncertain information. The DISPONTE semantics for probabilistic description logics allows to annotate axioms of a knowledge base with a value that represents their probability. In this paper we discuss approaches for performing inference from probabilistic ontologies following the DISPONTE semantics. We present the algorithm BUNDLE for computing the probability of queries. BUNDLE exploits an underlying Description Logic reasoner, such as Pellet, in order to find explanations for a query. These are then encoded in a Binary Decision Diagram that is used for computing the probability of the query.
@inproceedings{ijcai2015p613,
title = {Reasoning with Probabilistic Ontologies},
author = {Riguzzi, Fabrizio and Bellodi, Elena and Lamma, Evelina and Zese, Riccardo},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {4310--4315},
year = {2015},
month = {7},
note = {Best Papers from Sister Conferences Track},
url = {https://ijcai.org/proceedings/2015/613},
}
TY - CPAPER TI - Reasoning with Probabilistic Ontologies AU - Riguzzi, Fabrizio AU - Bellodi, Elena AU - Lamma, Evelina AU - Zese, Riccardo T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 4310 EP - 4315 UR - https://ijcai.org/proceedings/2015/613 ER -Copied
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