The MASTRO system for ontology-based data access
By Diego Calvanese, Giuseppe De Giacomo, Domenico Lembo, Maurizio Lenzerini, Antonella Poggi, Mariano Rodriguez-Muro, Riccardo Rosati, Marco Ruzzi, Domenico Fabio Savo. Semantic Web, 2011
333 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/8462544407304a03c6fffa101ded8f5e79490cd4
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
- Diego Calvanese
- Roman Kontchakov
- Michael Zakharyaschev
- Antonella Poggi
- Domenico Lembo
- Riccardo Rosati
- Guohui Xiao
- Mariano Rodriguez-Muro
In Computer Networks and Communications
- Diego Calvanese
- Roman Kontchakov
- Michael Zakharyaschev
- Antonella Poggi
- Domenico Lembo
- Riccardo Rosati
- Guohui Xiao
- Mariano Rodriguez-Muro
In Information Systems
Citations in the corpus
- Ontop: Answering SPARQL queries over relational databases (2016, methodology): “QuOnto is a reasoner for the description logic DL-Lite with plain conjunctive query (CQ) answering and Mastro is its extension with GAV (global as view) mappings for relational databases [42] (both systems are maintained by the Sapienza University of Rome).”
- Ontology-Based Data Access: A Survey (2018, methodology): “PerfectRef rewrites OMQ ( O ; q ( y )) into the union of the following CQs (UCQ): First experiments with Mastro [Calvanese et al. , 2011] revealed that rewritings produced by PerfectRef were often prohibitively large for execution by DBMSs, which spurred the investigation of various OMQ rewriting…”
- Knowledge-based Systems (2009, neutral): “However, as Gabriel [6] argues, by following Rawls, humans may hold various reasonable but contrasting beliefs about values.”