What a Surprise! Computing Rewritten Modules Can Be as Efficient as Computing Subset Modules

Uniform Interpolation (UI) is an advanced non-standard reasoning service that seeks to refine ontologies by creating rewritten modules. These modules, known as uniform interpolants, retain only "relevant names" while preserving their meanings in the absence of other names. UI holds significant potential across various domains where tailored ontology modules are required. However, realizing its full potential demands highly optimized techniques for generating such modules. Previous studies have identified notable challenges in generating uniform interpolants for EL-ontologies, where their computation is substantially more complex and computationally demanding than standard subset modules.

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Published
2024-10-20
DOI
https://doi.org/10.1145/3627673.3679528
Primary Topic
Semantic Web and Ontologies
Type
article
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article

What a Surprise! Computing Rewritten Modules Can Be as Efficient as Computing Subset Modules

Yizheng Zhao, Zhihao Yang
Semantic Web and Ontologies
article

What a Surprise! Computing Rewritten Modules Can Be as Efficient as Computing Subset Modules

Yizheng Zhao, Zhihao Yang
article en

Abstract

Uniform Interpolation (UI) is an advanced non-standard reasoning service that seeks to refine ontologies by creating rewritten modules. These modules, known as uniform interpolants, retain only "relevant names" while preserving their meanings in the absence of other names. UI holds significant potential across various domains where tailored ontology modules are required. However, realizing its full potential demands highly optimized techniques for generating such modules. Previous studies have identified notable challenges in generating uniform interpolants for EL-ontologies, where their computation is substantially more complex and computationally demanding than standard subset modules.

Nanjing University (CN)
Openalex Percentile: Top 84%
Semantic Web and Ontologies
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