Parameterized Compilability
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 412-416.
Abstract
Compilability is a measure of how effectively compilation (or preprocessing) can be applied to knowledge bases specified in a particular knowledge representation formalism; the aim of compilation is to allow for efficient, on-line query processing. A theory of compilability has been established for organizing knowledge representation formalisms according to a scheme of “compilability classes”, and bears strong analogies to the classical theory of complexity, which permits the organization of computational problems according to complexity classes. We develop a novel theory of compilability, called parameterized compilability, which incorporates the notion of parameterization as used in parameterized complexity and permits for refined analysis of compilability.
@inproceedings{ijcai2005p58,
title = {Parameterized Compilability},
author = {Chen, Hubie},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {412--416},
year = {2005},
url = {https://ijcai.org/proceedings/2005/58},
}
TY - CPAPER TI - Parameterized Compilability AU - Chen, Hubie T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 412 EP - 416 UR - https://ijcai.org/proceedings/2005/58 ER -Copied
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