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arXiv · 2603.26269

Query-Specific Pruning of RML Mappings (Extended Version)

Sitt Min Oo·Olaf Hartig
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Abstract

Current approaches for knowledge graph construction with RML focus on full RDF graph materialization without considering user queries, which is inefficient in dynamic query environments where often only a specific subset of the full graph is needed to answer a given query. This paper introduces an approach to prune RML mappings such that the resulting partially-materialized graph is still sufficient to answer a given SPARQL query completely. By evaluating the approach based on a well-know RML materialization benchmark, we show that such pruning significantly reduces both the materialization time and the size of the produced graph, while also noticeably reducing querying time

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Sitt Min Oo, Olaf Hartig. 2026-03-27. Query-Specific Pruning of RML Mappings (Extended Version). https://arxiv.org/abs/2603.26269

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