Description Logics with Approximate Definitions - Precise Modeling of Vague Concepts
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 557-561.
Abstract
We extend traditional Description Logics (DL) with a simple mechanism to handle approximate concept definitions in a qualitative way. Often, for example in medical applications, concepts are not definable in a crisp way but can fairly exhaustively be constrained through a particular sub- and a particular super-concept. We introduce such lower and upper approximations based on rough-set semantics, and show that reasoning in these languages can be reduced to standard DL satisfiability. This allows us to apply Rough Description Logics in a study of medical trials about sepsis patients, which is a typical application for precise modeling of vague knowledge. The study shows that Rough DL-based reasoning can be done in a realistic use case and that modeling vague knowledge helps to answer important questions in the design of clinical trials.
@inproceedings{ijcai2007p88,
title = {Description Logics with Approximate Definitions - Precise Modeling of Vague Concepts},
author = {Schlobach, Stefan and Klein, Michel C. A. and Peelen, Linda},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {557--561},
year = {2007},
url = {https://ijcai.org/proceedings/2007/88},
}
TY - CPAPER TI - Description Logics with Approximate Definitions - Precise Modeling of Vague Concepts AU - Schlobach, Stefan AU - Klein, Michel C. A. AU - Peelen, Linda T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 557 EP - 561 UR - https://ijcai.org/proceedings/2007/88 ER -Copied
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