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Sobre

Sobre

Carla Teixeira Lopes é, atualmente, professora auxiliar no Departamento de Engenharia Informática da Faculdade de Engenharia da Universidade do Porto e investigadora sénior no INESC TEC. É doutorada (2013) em Engenharia Informática pela Faculdade de Engenharia da Universidade do Porto. Tem experiência de investigação e coordenação de trabalhos nas áreas de recuperação de informação, sistemas de gestão de dados, interação pessoa-computador, World Wide Web e análise de dados. A sua investigação atual está relacionada com recuperação de informação em saúde, com especial enfoque no desenvolvimento de ferramentas que apoiem os consumidores de saúde. 

 

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Carla Lopes
  • Cluster

    Informática
  • Cargo

    Investigador Sénior
  • Desde

    01 maio 2014
004
Publicações

2022

Research Data Management in the Image Lifecycle: A Study of Current Behaviors

Autores
Rodrigues, J; Lopes, CT;

Publicação
RESEARCH CHALLENGES IN INFORMATION SCIENCE

Abstract

2022

Proposal of a lightweight, offline, full-text search engine for an mHealth app

Autores
Lopes C.T.; Azevedo D.; Monteiro J.M.;

Publicação
Iberian Conference on Information Systems and Technologies, CISTI

Abstract
A patient’s ability to recall and retrieve health information contributes to a better health management. HealthTalks was developed to address these issues by recording a summary of a medical appointment, uttered by the physician, and transcribing it. For each appointment, the user can also take free-text notes. Nowadays, search engines have become a ubiquitous part of everyone’s life and are expected on most applications. Here, we describe the development of a search engine for HealthTalks. The app’s characteristics demand a lightweight and offline engine, which requires a specific solution rather than an existing library or service. Our approach combines SQLite’s Full-Text Search 4 module, which includes n-gram indexing, with traditional information retrieval techniques to rank the documents. We created a test collection with summaries of clinical appointments (our documents), information needs, search queries, and relevance assessments for an initial search engine evaluation. Using this test collection, we assessed performance using NDCG@10, the first rank position of a totally relevant result, and query latency. Results are promising, with an average NDCG of 0.97. The median rank position of the first relevant result varies between 1.9 and 1.95, depending on the use of 4-gram character tokenization, an aspect that did not significantly affect the results. We expect this work to be useful for future developments of full-text search engines in mobile environments.

2022

Solutions for Data Sharing and Storage: A Comparative Analysis of Data Repositories

Autores
Rodrigues, J; Lopes, CT;

Publicação
Linking Theory and Practice of Digital Libraries - 26th International Conference on Theory and Practice of Digital Libraries, TPDL 2022, Padua, Italy, September 20-23, 2022, Proceedings

Abstract

2021

Assessing the quality of health-related Wikipedia articles with generic and specific metrics

Autores
Couto, L; Lopes, CT;

Publicação
WEB CONFERENCE 2021: COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2021)

Abstract

2021

How Can an Archive Be Characterized?

Autores
Araújo, MF; Lopes, CT;

Publicação
Linking Theory and Practice of Digital Libraries - 25th International Conference on Theory and Practice of Digital Libraries, TPDL 2021, Virtual Event, September 13-17, 2021, Proceedings

Abstract
Archives are evolving. Analog archives are becoming increasingly digitized and linked with other cultural heritage institutions and information sources. Diverse forms of born-digital archives are appearing. This diversity asks for systematic ways to characterize existing archives managing physical or digital records. We conducted a systematic review to identify and understand how archives are characterized. From the 885 identified articles, only 15 were focused on archives’ characterization and, therefore, included in the study. We found several characterization features organized in three main groups: archival materials, provided services, and internal processes. © 2021, Springer Nature Switzerland AG.

Teses
supervisionadas

2021

Mutability of Web Search Engines Results - Data Collection and Brief Analysis

Autor
Bruno Miguel Faustino Moreno

Instituição
UP-FEUP

2021

Generating Hardware Modules via Binary Translation of RISC-V Binaries

Autor
João Miguel Curado Conceição

Instituição
UP-FEUP

2021

Avaliação da qualidade da Wikipédia enquanto fonte de informação em saúde

Autor
Luís Pedro da Silva Couto

Instituição
UP-FEUP

2021

Web Search Engines - A study on the evolution of user interfaces

Autor
Bruno Edgar Évora Rebelo Oliveira

Instituição
UP-FEUP

2020

A utilização e produção de imagens em contexto de investigação: contribuições para boas práticas de gestão de dados em formato de imagem

Autor
Miguel Martins Fernandes

Instituição
UP-FEUP