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About

About

Carla Teixeira Lopes is an assistant Professor in the Department of Informatics Engineering, University of Porto, Portugal. She is also a researcher at INESC TEC since 2014. She received a PhD in Informatics Engineering from the University of Porto in 2013. Her research interests lie at the intersection of information retrieval and human-computer interaction. She is interested in studying information search behaviour and in developing tools that help people search more successfully. Lately, she has been focused in exploring how context can help improve the experience of health consumers searching the Web.

Interest
Topics
Details

Details

003
Publications

2023

A Social Media Tool for Domain-Specific Information Retrieval - A Case Study in Human Trafficking

Authors
Grine, T; Lopes, CT;

Publication
MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT I

Abstract
In a world increasingly present online, people are leaving a digital footprint, with valuable information scattered on the Web, in an unstructured manner, beholden to the websites that keep it. While there are potential harms in being able to access this information readily, such as enabling corporate surveillance, there are also significant benefits when used, for example, in journalism or investigations into Human Trafficking. This paper presents an approach for retrieving domain-specific information present on the Web using Social Media platforms as a gateway to other content existing on any website. It begins by identifying relevant profiles, then collecting links shared in posts to webpages related to them, and lastly, extracting and indexing the information gathered. The tool developed based on this approach was tested for a case study in the domain of Human Trafficking, more specifically in sexual exploitation, showing promising results and potential to be applied in a real-world scenario.

2023

A Social Media Tool for Domain-Specific Information Retrieval - A Case Study in Human Trafficking

Authors
Grine, T; Lopes, CT;

Publication
MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT I

Abstract
In a world increasingly present online, people are leaving a digital footprint, with valuable information scattered on the Web, in an unstructured manner, beholden to the websites that keep it. While there are potential harms in being able to access this information readily, such as enabling corporate surveillance, there are also significant benefits when used, for example, in journalism or investigations into Human Trafficking. This paper presents an approach for retrieving domain-specific information present on the Web using Social Media platforms as a gateway to other content existing on any website. It begins by identifying relevant profiles, then collecting links shared in posts to webpages related to them, and lastly, extracting and indexing the information gathered. The tool developed based on this approach was tested for a case study in the domain of Human Trafficking, more specifically in sexual exploitation, showing promising results and potential to be applied in a real-world scenario.

2022

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

Authors
Rodrigues, J; Lopes, CT;

Publication
RESEARCH CHALLENGES IN INFORMATION SCIENCE

Abstract

2022

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

Authors
Lopes, CT; Azevedo, D; Monteiro, JM;

Publication
2022 17TH 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

Authors
Rodrigues, J; Lopes, CT;

Publication
LINKING THEORY AND PRACTICE OF DIGITAL LIBRARIES (TPDL 2022)

Abstract

Supervised
thesis

2022

Digital images as data and metadata: description requirements for information retrieval and semantic interoperability

Author
Joana Patrícia de Sousa Rodrigues

Institution
UP-FEUP

2022

Automatic Categorization of Health-related Messages in Online Health Communities

Author
João Paulo Gomes Torres Abelha

Institution
UP-FEUP

2022

Real-Time Prediction of Wikipedia Articles' Quality

Author
Pedro Miguel Braga Barbosa Lopes Moás

Institution
UP-FEUP

2022

A Social Media Tool for Domain-Specific Information Retrieval - A Case Study in Human Trafficking

Author
Tito Alexandre Trindade Griné

Institution
UP-FEUP

2022

Integration of models for linked data in cultural heritage and contributions to the FAIR principles

Author
Inês Dias Koch

Institution
UP-FEUP