What question did this study set out to answer?

The aim is to develop a debugging technique to ensure SPARQL queries to DBpedia produce expected results while minimizing errors.

March 10, 2026Open Access

Rule and Constraint based Debugging of DBpedia Queries

Puntos clave

The aim is to develop a debugging technique to ensure SPARQL queries to DBpedia produce expected results while minimizing errors.
Developed a SPARQL debugger for DBpedia queries.
Implemented rule rewriting for correcting SPARQL queries.
Used a constraint solving procedure to align queries with expected outcomes.
Defined a semantic characterization for query rewriting.
Found that traditional SPARQL queries have a high incidence of runtime errors (66.9%).
Introduced a sound and complete debugging method that corrects faulty queries in real-time.
Showcased practical applications in SPARQL and DBpedia for effective query adjustments.

Resumen

• SPARQL debugger for DBpedia queries • SPARQL query rewriting for expected and unexpected answers • Sound and complete rule and constraint based solving procedure • Web tool support DBpedia serves as the principal resource for Linked Open Data available on the Web and is currently the largest Knowledge Graph. Queries to DBpedia resources typically utilize the SPARQL query language through its SPARQL endpoint. Errors can occur within SPARQL queries. A recent study examining SPARQL endpoint executions found that 66.9% experience runtime errors, while 20.0% may not have errors but produce empty results. Ensuring a query is both error-free and aligned with user expectations presents a challenge. This paper introduces a debugging technique for DBpedia queries aimed at aligning a specific query with expected and unexpected answers. By converting SPARQL into rules, the debugger identifies query rewrites that meet these criteria. It employs constraint solving to determine filter conditions aligning with expected and unexpected results. A semantic characterization of query rewriting is defined, for which the proposed method has been proved to be sound and complete. The paper showcases the practical use of rule systems and constraint solving within databases, more specifically in SPARQL and DBpedia, facilitating real-time query adjustment to actual datasets.

Leer artículo completoexternamente

Me gusta

Guardar

Ver artículo completo

Cite This Study

Enciso-Baños et al. (Sun,) studied this question.

synapsesocial.com/papers/69af944f70916d39fea4b5fa https://doi.org/https://doi.org/10.1016/j.jlamp.2026.101113

Me gusta

Guardar

Ver artículo completo