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cs.DB2026

Does SRL Pave the Road to Explainable Reasoning? Lessons Learned from an Implementer's Perspective

Lander Maes, Bryan-Elliott Tam, Jitse De Smet +3

The Shape Rules Language (SRL) Working Draft defines how to derive new RDF triples from an RDF graph using inference rules. Each rule matches graph patterns and instantiates triple…

cs.DB2026

Strengthening LargeRDFBench for Interoperable Federated SPARQL Evaluation

Bryan-Elliott Tam, Muhammad Saleem, Ruben Taelman

LargeRDFBench is one of the most comprehensive benchmarks for evaluating federated SPARQL query engines, combining real, interlinked datasets with a rich query suite that has made…

cs.DB2026

Demonstrating Online Schema Alignment in Decentralized Knowledge Graphs Querying

Bryan-Elliott Tam, Pieter Colpaert, Ruben Taelman

Decentralized Knowledge Graphs querying enables integrating distributed data without centralization, but is highly sensitive to vocabulary heterogeneity. Query issuers cannot reali…

cs.DB2024

Optimizing Traversal Queries of Sensor Data Using a Rule-Based Reachability Approach

Bryan-Elliott Tam, Ruben Taelman, Julián Rojas Meléndez +1

Link Traversal queries face challenges in completeness and long execution time due to the size of the web. Reachability criteria define completeness by restricting the links follow…

cs.DB2024

Opportunities for Shape-based Optimization of Link Traversal Queries

Bryan-Elliott Tam, Ruben Taelman, Pieter Colpaert +1

Data on the web is naturally unindexed and decentralized. Centralizing web data, especially personal data, raises ethical and legal concerns. Yet, compared to centralized query app…