2014/08/27 by Fariz Darari, Darari, Fariz, Simon Razniewski +3
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Databases (cs.DB) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling #cs.DB
paper · pdf · doi:10.48550/arxiv.1408.6395
This paper is an extended version with proofs of a poster paper at ISWC 2014
openalex publication_date 2014/08/27 · arxiv created 2014/09/03 · arxiv updated 2014/09/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
RDF data is often treated as incomplete, following the Open-World Assumption. On the other hand, SPARQL, the standard query language over RDF, usually follows the Closed-World Assumption, assuming RDF data to be complete. This gives rise to a semantic gap between RDF and SPARQL. In this paper, we address how to close the semantic gap between RDF and SPARQL in terms of certain answers and possible answers using completeness statements.