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Foundations of semantic web databases
Abstract
The Semantic Web is based on the idea of adding more machine-readable semantics to web information via annotations written in a language called the Resource Description Framework (RDF). RDF resembles a subset of binary first-order logic including the ability to refer to anonymous objects. Its extended version, RDFS, supports reification, typing and inheritance. These features introduce new challenges into the formal study of sets of RDF/RDFS statements and languages for querying them. Although several such query languages have been proposed, there has been little work on foundational aspects. We investigate these, including computational aspects of testing entailment and redundancy. We propose a query language with well-defined semantics and study the complexity of query processing, query containment, and simplification of answers.
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Citations
Cited by
Semantics and Complexity of SPARQL
Pérez, J., Arenas, M., & Gutierrez, C. (2006) · Lecture Notes in Computer Science · doi:10.1007/11926078_3 · Cited by 379
Self-citationGutierrez, C., Hurtado, C., & Vaisman, A. (2007) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2007.34 · Cited by 279
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Metadata
- Authors
- Gutierrez, C., Hurtado, C., & Mendelzon, A. O.
- Venue
- Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
- Publisher
- ACM
- Published
- 2004-06-14
- Pages
- 95-106
- OpenAlex
- W2113214500
- Cited by
- 281
- References
- 0
- FWCI
- 9.76
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Foundations of semantic web databases. https://app.cochat.ai/papers/10.1145/1055558.1055573
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- Gutierrez, C., Hurtado, C., & Mendelzon, A. O. (2004). Foundations of semantic web databases. Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems. https://doi.org/10.1145/1055558.1055573
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
