Demo Data from EDBT 2026 / reviewers in the wild / expert
Laura S. Mastella
dblp:13/777
· DBLP profile ↗
6ranked-venue papers
4as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 2 first-authorDatabases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
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.
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 50% Information extraction and text analysis · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis › temporal information extraction
temporal ordering |
0.1 | 1 | 2005 | Cognitive Modelling of Event Ordering Reasoning in Imagistic Domains · IJCAI 2005 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
temporal reasoning |
0.1 | 1 | 2005 | Cognitive Modelling of Event Ordering Reasoning in Imagistic Domains · IJCAI 2005 |
Computational science and engineering › computational cognitive science
cognitive modeling |
0.0 | 1 | 2005 | Cognitive Modelling of Event Ordering Reasoning in Imagistic Domains · IJCAI 2005 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Semantic exploitation of persistent metadata in engineering models: application to geological modelsabstractEngineering models are computer-based models that enclose technical data issued from engineering domains. Those models usually implicit many of the details required to understand and interpret the data. In this context, integrating the results of models and querying the heterogeneous information is a challenge. Laura S. Mastella, Yamine Aït-Ameur, Stéphane Jean, Michel Perrin, Jean-François Rainaud |
RCIS | 1 |
| 2008 | Ontology-Based Model Annotation of Heterogeneous Geological Representations
Laura S. Mastella, Yamine Aït-Ameur, Michel Perrin, Jean-François Rainaud |
WEBIST (2) | 1 |
| 2007 | Event Ordering Reasoning Ontology Applied to Petrology and Geological Modelling
Laura S. Mastella, Mara Abel, Luis Fernando De Ros, Michel Perrin, Jean-François Rainaud |
IFSA (2) | 1 |
| 2005 | Cognitive Modelling of Event Ordering Reasoning in Imagistic Domains
Laura S. Mastella, Mara Abel, Luís C. Lamb, Luis Fernando De Ros |
IJCAI | 1 |
| 2004 | How to Model Visual Knowledge: A Study of Expertise in Oil-Reservoir Evaluation
Mara Abel, Laura S. Mastella, Luís A. Lima Silva, John A. Campbell, Luis Fernando De Ros |
DEXA | 2 |
| 2004 | PetroGrapher: managing petrographic data and knowledge using an intelligent database application
Mara Abel, Luís A. Lima Silva, Luis Fernando De Ros, Laura S. Mastella, John A. Campbell, Taisa Novello |
Expert Syst. Appl. | 4 |