The Modular Structure of an Ontology: Atomic Decomposition
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2232-2236.
Abstract
Extracting a subset of a given ontology that captures all the ontology's knowledge about a specified set of terms is a well-understood task. This task can be based, for instance, on locality-based modules. However, a single module does not allow us to understand neither topicality, connectedness, structure, or superfluous parts of an ontology, nor agreement between actual and intended modeling. The strong logical properties of locality-based modules suggest that the family of all such modules of an ontology can support comprehension of the ontology as a whole. However, extracting that family is not feasible, since the number of locality-based modules of an ontology can be exponential w.r.t. its size. In this paper we report on a new approach that enables us to efficiently extract a polynomial representation of the family of all locality-based modules of an ontology. We also describe the fundamental algorithm to pursue this task, and report on experiments carried out and results obtained.
@inproceedings{ijcai2011p372,
title = {The Modular Structure of an Ontology: Atomic Decomposition},
author = {Del Vescovo, Chiara and Parsia, Bijan and Sattler, Ulrike and Schneider, Thomas},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {2232--2236},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-372},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-372},
}
TY - CPAPER TI - The Modular Structure of an Ontology: Atomic Decomposition AU - Del Vescovo, Chiara AU - Parsia, Bijan AU - Sattler, Ulrike AU - Schneider, Thomas T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 2232 EP - 2236 DO - 10.5591/978-1-57735-516-8/IJCAI11-372 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-372 ER -Copied
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