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Sobre

Sobre

Concluí o Doutoramento em Informática na Universidade Nova de Lisboa em 1994.

Sou atualmente Professor Associado do Departamento de Engenharia Informática da Faculdade de Engenharia da Universidade do Porto, onde leciono na área das bases de dados, armazéns de dados, preservação digital e matemática discreta.

Participei na criação do Programa de Doutoramento em Informática (MAP-i) conjunto das Universidades do Minho, Aveiro e Porto, fazendo parte da Comissão Científica desde 2007. Participei na criação do Mestrado em Gestão da Informação (1997) e da Licenciatura em Ciência da Informação (2001), programas conjuntos das Faculdades de Engenharia e de Letras, e integro as respetivas comissões científicas.

Sou membro do Conselho Científico da Faculdade de Engenharia desde 2010.

Dirigi a equipa de desenvolvimento do SIGARRA (sistema de informação académico da UPorto) entre 1996 e 2010.

Sou investigador do INESC TEC desde 1985, fazendo parte da sua Administração desde 2015. Os meus principais interesses de investigação são nas áreas da gestão de informação, da preservação digital e das bases de dados. Coordenei os projetos FCT DBPreserve, sobre preservação de bases de dados; Gulbenkian APDIC, sobre planos de preservação digital, e EEA Grant SeaBioData. Atualmente integro o projeto FCT TAIL, sobre gestão de dados de investigação.

Participei entre 2000 e 2010 no projeto de Cooperação com a Universidade Nacional de Timor Leste, tendo sido o coordenador do curso de Engenharia Informática entre 2006 e 2010.

Sou membro da Ordem dos Engenheiros onde integrei o Conselho de Admissão e Qualificação, entre 2010 e 2016.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Gabriel David
  • Cluster

    Informática
  • Cargo

    Administrador Executivo
  • Desde

    01 abril 1985
011
Publicações

2015

Database Preservation: The DBPreserve Approach

Autores
Ur, A; Muzammal, M; David, G; Ribeiro, C;

Publicação
International Journal of Advanced Computer Science and Applications - ijacsa

Abstract

2014

ViBest SHM: an information system and data repository for structural health monitoring

Autores
da Costa, FP; Cunha, A; David, G;

Publicação
EURODYN 2014: IX INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS

Abstract
This project has been motivated by the need to standardize, preserve, and share the data sets of the Laboratory of Vibrations and Structural Monitoring (ViBest, www.fe.up.pt/vibest) of FEUP, produced by several long term projects individually managed. The solution presented is meant to support the process of Structural Health Monitoring, offering features to catalogue the projects, their goals and components, to store and visualize their acquired and processed data through time, and to preserve the data in a standardized form for all the research unit and extensible to future applications. The result is a digital archive with automatic ingestion of new data files and a Web interface with access control and tools for information management. There is a batch export functionality to deal with large data transfers. It is being used on monitoring data related with different kinds of structural health monitoring applications. The standardization and preservation of all data sets acquired in multiple applications will be certainly a solid basis for further research, either at a local basis or in the context of international joint cooperation.

2013

Definition of a retrospective health information policy based on (re)use study

Autores
Goncalves, F; David, G;

Publicação
Handbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care

Abstract
Medical information produced in hospitals is, simultaneously, used (1) to support health care provided to patients, (2) in research work performed by internal and external health professionals, and (3) as legal proof with various objectives. The co-existence of electronic and paper health information, the integration constraints of the various computer applications, and the storage of massive volumes of retrospective paper-based patient records are dominant concerns for São João Hospital Center (SJHC). These problems must be considered in the adoption of an Electronic Patient Record (EPR) in order to ensure that hospitals and patients fully benefit from the technological investments. The contribution of this chapter is the design and conduction of a (re)use study, which consisted of an analysis of the paper-based records management activities and of the patients' records content. A survey on the (re) use of the paper-based patient records has been conducted in order to characterize the (re)use in terms of objective and type of hospital encounter, and documents accessed were identified and organized in an access frequency table. The results support the paper-based patient records strategy to implement in SJHC integrated in the Hospital EPR adoption project. © 2013, IGI Global.

2011

Patterns for Effectively Documenting Frameworks in "Transactions on Pattern Languages of Programming II"

Autores
Ademar Aguiar; Gabriel David

Publicação
LNCS - Lecture Notes in Computer Science, no.6510, pp.79-124

Abstract

2011

Term Weighting based on Document Revision History

Autores
Sérgio Nunes; Cristina Ribeiro; Gabriel David

Publicação
JASIST - Journal of the American Society for Information Science and Technology, vol.62, no.12, pp.2471-2478

Abstract
In real-world information retrieval systems, the underlying document collection is rarely stable or definitive. This work is focused on the study of signals extracted from the content of documents at different points in time for the purpose of weighting individual terms in a document. The basic idea behind our proposals is that terms that have existed for a longer time in a document should have a greater weight. We propose 4 term weighting functions that use each document's history to estimate a current term score. To evaluate this thesis, we conduct 3 independent experiments using a collection of documents sampled from Wikipedia. In the first experiment, we use data from Wikipedia to judge each set of terms. In a second experiment, we use an external collection of tags from a popular social bookmarking service as a gold standard. In the third experiment, we crowdsource user judgments to collect feedback on term preference. Across all experiments results consistently support our [...]

Teses
supervisionadas

2017

Gestão de informação académica: O caso da Faculdade de Medicina da Universidade do Porto

Autor
Marisa Alves Neto

Instituição
UP-FEUP

2017

Um CRIS para uma Unidade de Investigação

Autor
Daniel Moreira Couceiro

Instituição
UP-FEUP

2017

Anonimização de informação clínica

Autor
José Miguel de Sousa Pessanha Pereira de Melo

Instituição
UP-FEUP

2017

Data Integration Solution in an Heterogeneous Environment

Autor
Pedro Manuel dos Santos Rocha

Instituição
UP-FEUP

2017

Gestão da Informação na Era Digital: Desmaterialização dos processos no contexto do Hospital de Braga

Autor
Helena Cristina Jorge Carneiro Moreira da Silva

Instituição
UP-FEUP