Linking Data to Ontologies

By Antonella Poggi, Domenico Lembo, Diego Calvanese, Giuseppe De Giacomo, Maurizio Lenzerini, Riccardo Rosati. Journal on Data Semantics, 2008

979 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/407748e97d8d3878535f6371ad324708915bf6d9

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Citations in the corpus

The DL-Lite Family and Relations (2009, methodology): “The first-order rewriting technique has been implemented in various system, notably in QuOnto (Acciarri et al., 2005; Poggi et al., 2008b), which can query, relying on ontology-to-relational mappings, data stored in any standard relational database management system, and in Owlgres (Stocker &…”
Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family (2007, background): “extensions 4 and 5, called DL-LiteA, is studied in [28], while the logic combining, in addition to extensions 4 and 5, also extension 6, here called DL-LiteA, is studied in [12, 15].”
The MASTRO system for ontology-based data access (2011, methodology): “In particular, the models of 〈T ,M,D〉 are those interpretations of T that satisfy the assertions in T and that are consistent with the tuples retrieved by M from D (see [25] for the formal details).”
Ontop: Answering SPARQL queries over relational databases (2016, background): “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).”
A general datalog-based framework for tractable query answering over ontologies (2009, background): “Georg Gottlob also gratefully acknowledges a Royal Society Wolfson Research Merit Award.”
KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing (2015, background): “Another line of work studies the problem of combining ontological reasoning with databases [5, 33].”
Ontology-Based Data Access: A Survey (2018, methodology): “In spite of this expressive power, all CQs are FO-rewritable with respect to OBDA speciﬁcations with OWL 2 QL ontologies and R2RML mappings [Poggi et al. , 2008]: indeed, any OMQ rewriting can be unfolded with an R2RML (or, equivalently, GLAV) mapping by using careful uniﬁcation for query fragments…”
Description Logic Knowledge and Action Bases (2014, methodology): “We follow the usual assumption in DL-Lite , according to which a TBox may contain neither ( funct P ) nor ( funct P − ) if it contains R (cid:118) P or R (cid:118) P − , for some role R (Poggi et al., 2008; Calvanese et al., 2013).”