Abstract
In this paper, we introduce the problem of rewriting finite formal languages using syntactic macros such that the rewriting is minimal in size. We present polynomial-time algorithms to solve variants of this problem and show their correctness. To demonstrate the practical relevance of the proposed problems and the feasibility and effectiveness of our algorithms in practice, we apply these to biomedical ontologies authored in OWL. We fnd that such rewritings can signifcantly reduce the size of ontologies by capturing repeated expressions with
macros. In addition to offering valuable assistance in enhancing ontology quality and comprehension, the presented approach introduces a systematic way of analysing and evaluating features of rewriting systems (including syntactic macros, templates, or other forms of rewriting rules) in terms of their infuence on computational problems.
macros. In addition to offering valuable assistance in enhancing ontology quality and comprehension, the presented approach introduces a systematic way of analysing and evaluating features of rewriting systems (including syntactic macros, templates, or other forms of rewriting rules) in terms of their infuence on computational problems.
Original language | English |
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Title of host publication | The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24) |
Publisher | AAAI Press |
Pages | 10581-10588 |
Volume | 38 |
Edition | 9 |
DOIs | |
Publication status | Published - 24 Mar 2024 |
Publication series
Name | Proceedings of the AAAI Conference on Artificial Intelligence |
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Publisher | AAAI Press |
ISSN (Print) | 2159-5399 |