Ontop: Answering SPARQL queries over relational databases
By Diego Calvanese, Benjamin Cogrel, Sarah Komla-Ebri, Roman Kontchakov, Davide Lanti, Martín Rezk, Mariano Rodriguez-Muro, Guohui Xiao. Semantic Web, 2016
519 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/9c9d3d988cbd4f8c0318030786dede1cb64b90ae
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Ihab F. Ilyas
- Diego Calvanese
- Roman Kontchakov
- Nan Tang
- Michael Zakharyaschev
- Antonella Poggi
- Domenico Lembo
- Riccardo Rosati
In Management Science and Operations Research
- Ihab F. Ilyas
- Nan Tang
- Mourad Ouzzani
- M. Stonebraker
- Samuel Madden
- Xu Chu
- Manuel Gil
- Maria Anisimova
In Molecular Biology
- Christophe Dessimoz
- Tarcisio Mendes de Farias
- Manuel Gil
- Marc Robinson-Rechavi
- Maria Anisimova
- Samuel Madden
- Ahmed K. Elmagarmid
- Roman Kontchakov
Citations in the corpus
- Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery (2018, methodology): “Similarly, Ontop [44] and D2RQ [45] are proposed to query RDMSs using SPARQL queries by viewing an RDMS as a virtual RDF graph.”
- Ontology-Based Data Access: A Survey (2018, methodology): “OBDA systems implementing this paradigm include Mas-tro [ Calvanese et al. , 2011 ] , Morph [ Priyatna et al. , 2014 ] , Ontop [ Calvanese et al. , 2017 ] , Stardog 4 and Ultrawrap [ Se-queda and Miranker, 2013 ] .”
- Enabling semantic queries across federated bioinformatics databases (2019, methodology): “To implement OBDA over the Bgee relational database, we used the Ontop platform (53) version 3.”