Enhancing SPARQL Query Rewriting for Complex Ontology Alignments

 International Journal of Web & Semantic Technology (IJWesT)

ISSN: 0975 - 9026 (Online) 0976- 2280 (Print)

https://www.airccse.org/journal/ijwest/ijwest.html

Current Issue

April 2025, Volume 16, Number 2

Enhancing SPARQL Query Rewriting for Complex Ontology Alignments

Anicet Lepetit Ondo 1, Laurence Capus 1 and Mamadou Bousso 2, 1 Laval University, Canada, 2 Iba Der Thiam University, Senegal

ABSTRACT

SPARQL query rewriting is a fundamental mechanism for uniformly querying heterogeneous ontologies in the Linked Data Web. However, the complexity of ontology alignments, particularly rich correspondences (c : c), makes this process challenging. Existing approaches primarily focus on simple (s : s) and partially complex ( s : c) alignments, thereby overlooking the challenges posed by more expressive alignments. Moreover, the intricate syntax of SPARQL presents a barrier for non-expert users seeking to fully exploit the knowledge encapsulated in ontologies. This article proposes an innovative approach for the automatic rewriting of SPARQL queries from a source ontology to a target ontology, based on a user's need expressed in natural language. It leverages the principles of equivalence transitivity as well as the advanced capabilities of large language models such as GPT-4. By integrating these elements, this approach stands out for its ability to efficiently handle complex alignments, particularly (c : c) correspondences , by fully exploiting their expressiveness. Additionally, it facilitates access to aligned ontologies for users unfamiliar with SPARQL, providing a flexible solution for querying heterogeneous data.

KEYWORDS

Ontology, complex alignments, SPARQL queries, Query Rewriting, LLM

Original Source URL: https://aircconline.com/ijwest/V16N2/16225ijwest01.pdf

https://www.airccse.org/journal/ijwest/vol16.html

Academia: https://www.academia.edu/123548342/Upcoming_Issue_International_Journal_of_Web_and_Semantic_Technology_IJWesT_

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