EDBT 2026 Demo / reviewers in the wild / expert
Lorenzo Lepore
dblp:135/4704
· DBLP profile ↗
5ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 1 since 2021Databases, data management, data science and information retrieval · 2Graphics, computer vision, multimedia, augmented reality and games · 1Theory of computation · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
3 papers |
Database theory · 66% Data integration and cleaning · 14% Knowledge graphs · 13% | |
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% | |
| Theoretical computer science
2 papers |
Automated reasoning and model checking · 69% Logic in computer science · 31% |
Topics — the 9 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Database theory
ontology-mediated queries |
0.5 | 1 | 2021 | Metamodeling and metaquerying in OWL 2 QL · Artif. Intell. 2021 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
description logic |
0.2 | 1 | 2016 | A Higher-Order Semantics for Metaquerying in OWL 2 QL · KR 2016 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › description logic
OWL 2 QL |
0.2 | 1 | 2016 | A Higher-Order Semantics for Metaquerying in OWL 2 QL · KR 2016 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
query answering |
0.2 | 1 | 2016 | A Higher-Order Semantics for Metaquerying in OWL 2 QL · KR 2016 |
Database theory
query answering |
0.2 | 1 | 2016 | Answering Metaqueries over Hi (OWL 2 QL) Ontologies · IJCAI 2016 |
Data integration and cleaning
ontology-based data access |
0.2 | 1 | 2013 | MASTRO STUDIO: Managing Ontology-Based Data Access applications · Proc. VLDB Endow. 2013 |
Automated reasoning and model checking › automated reasoning
ontology reasoning |
0.2 | 1 | 2013 | MASTRO STUDIO: Managing Ontology-Based Data Access applications · Proc. VLDB Endow. 2013 |
Data models and query languages
description logics |
0.1 | 1 | 2016 | Answering Metaqueries over Hi (OWL 2 QL) Ontologies · IJCAI 2016 |
Logic in computer science
semantics |
0.1 | 1 | 2016 | A Higher-Order Semantics for Metaquerying in OWL 2 QL · KR 2016 |
Methods — techniques the papers use, named apart from their topics
ontology reasoning · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Metamodeling and metaquerying in OWL 2 QL
Maurizio Lenzerini, Lorenzo Lepore, Antonella Poggi |
Artif. Intell. | 2 |
| 2020 | Metaquerying made practical for OWL 2 QL ontologies
Maurizio Lenzerini, Lorenzo Lepore, Antonella Poggi |
Inf. Syst. | 2 |
| 2016 | Answering Metaqueries over Hi (OWL 2 QL) Ontologies
Maurizio Lenzerini, Lorenzo Lepore, Antonella Poggi |
IJCAI | 2 |
| 2016 | A Higher-Order Semantics for Metaquerying in OWL 2 QL
Maurizio Lenzerini, Lorenzo Lepore, Antonella Poggi |
KR | 2 |
| 2013 | MASTRO STUDIO: Managing Ontology-Based Data Access applicationsabstractOntology-based data access (OBDA) is a novel paradigm for accessing large data repositories through an ontology, that is a formal description of a domain of interest. Supporting the management of OBDA applications poses new challenges, as it requires to provide effective tools for (i) allowing both expert and non-expert users to analyze the OBDA specification, (ii) collaboratively documenting the ontology, (iii) exploiting OBDA services, such as query answering and automated reasoning over ontologies, e.g., to support data quality check, and (iv) tuning the OBDA application towards optimized performances. To fulfill these challenges, we have built a novel system, called MASTRO STUDIO, based on a tool for automated reasoning over ontologies, enhanced with a suite of tools and optimization facilities for managing OBDA applications. To show the effectiveness of MASTRO STUDIO, we demonstrate its usage in one OBDA application developed in collaboration with the Italian Ministry of Economy and Finance. Cristina Civili, Marco Console, Giuseppe De Giacomo, Domenico Lembo, Maurizio Lenzerini, Lorenzo Lepore, Riccardo Mancini, Antonella Poggi, Riccardo Rosati 0001, Marco Ruzzi, Valerio Santarelli, Domenico Fabio Savo |
Proc. VLDB Endow. | 6 |