EDBT 2026 Demo / reviewers in the wild / expert
Maria Luiza M. Campos
dblp:78/4279 · also Maria Luiza Machado Campos
· DBLP profile ↗
6ranked-venue papers in the field
0as first author
1since 2021 · last 2023
0000-0002-7930-612XORCID · verified
Domains — venue-derived; a paper can count in several
Business Process & Enterprise Data · 3Database Systems & Data Management · 2Data Mining & Knowledge Discovery · 1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | A Terminological and Semiotic Review of the Digital Object Concept
Marcelo Jaccoud Amaral, Vânia Jesus de Araújo Soares Borges, Maria Luiza M. Campos |
ER | 3 |
| 2019 | An Ontological Perspective for Database Tuning Heuristics
Ana Carolina Almeida, Maria Luiza M. Campos, Fernanda Baião, Sérgio Lifschitz, Rafael Pereira de Oliveira, Daniel Schwabe 0001 |
ER | 2 |
| 2019 | Decision-Making in Knowledge-intensive Processes: The Case of Value Ascription and Goal Processing
Pedro H. Piccoli Richetti, Fernanda Baião, Maria Luiza M. Campos |
ER | 3 |
| 2014 | OntoWarehousing - Multidimensional Design Supported by a Foundational Ontology: A Temporal Perspective
João L. R. Moreira, Kelli F. Cordeiro, Maria Luiza M. Campos, Marcos R. S. Borges |
DaWaK | 3 |
| 2005 | Managing structural genomic workflows using Web services
Maria Cláudia Cavalcanti, Rafael Targino, Fernanda Baião, Shaila C. Rössle, Paulo Mascarello Bisch, Paulo F. Pires, Maria Luiza M. Campos, Marta Mattoso |
Data Knowl. Eng. | 7 |
| 2002 | An Architecture for Managing Distributed Scientific ResourcesabstractThere are many examples where cooperation among scientists takes place by exchanging scientific resources, such as data, programs and mathematical models. This is particularly true for environmental applications. Finding the right resource to apply in an environmental problem is a difficult task. Usually, this decision is based on previous experience. Scientists have to cooperate in order to solve such problems. To facilitate the exchange, reuse and dissemination of information we propose an architecture for managing distributed scientific resources. Our proposal combines a mediation-based heterogeneous distributed database system and an enhanced metadata support system for effective management of distributed scientific models and data. Maria Cláudia Cavalcanti, Marta Mattoso, Maria Luiza M. Campos, Eric Simon, François Llirbat |
SSDBM | 3 |