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About

About

I am an Associate Professor with the Department of Informatics Engineering of FEUP, University of Porto, and a senior researcher at INESC TEC. I have collaborated on and been in charge of projects in the areas of cultural heritage, multimedia databases, information retrieval and combinatorial optimisation. I have supervised 9 PhD and 33 MSc dissertations. I was the technical leader of the SAPO/U.Porto extension laboratory for 5 years. My teaching activities include courses in the Informatics Engineering and Information Science programmes. Research Data Management is the core of my current research activity. I am the PI of TAIL (FCT/POCI), on research data management workflows for data publication, and I lead the DataPublication@U.Porto pilot in the EUDAT european initiative. I am a member of the Working Group for the National Policy on Open Science with SECTES. My research interests include information retrieval, digital preservation and knowledge representation.

Interest
Topics
Details

Details

  • Name

    Cristina Ribeiro
  • Role

    Senior Researcher
  • Since

    01st April 1985
007
Publications

2023

Getting in touch with metadata: a DDI subset for FAIR metadata production in clinical psychology

Authors
Castro, JA; Rodrigues, J; Mena Matos, P; M D Sales, C; Ribeiro, C;

Publication
IASSIST Quarterly

Abstract
To address metadata with researchers it is important to use models that include familiar domain concepts. In the Social Sciences, the DDI is a well-accepted source of such domain concepts. To create FAIR data and metadata, we need to establish a compact set of DDI elements that fit the requirements in projects and are likely to be adopted by researchers inexperienced with metadata creation. Over time, we have engaged in interviews and data description sessions with research groups in the Social Sciences, identifying a manageable DDI subset. A recent Clinical Psychology project, TOGETHER, dealing with risk assessment for hereditary cancer, considered the inclusion of a DDI subset for the production of metadata that are timely and interoperable with data publication initiatives in the same domain. Taking a DDI subset identified by the data curators, we make a preliminary assessment of its use as a realistic effort on the part of researchers, taking into consideration the metadata created in two data description sessions, the effort involved, and overall metadata quality. A follow-up questionnaire was used to assess the perspectives of researchers regarding data description.

2023

From ISAD(G) to Linked Data Archival Descriptions

Authors
Koch, I; Pires, C; Lopes, CT; Ribeiro, C; Nunes, S;

Publication
LINKING THEORY AND PRACTICE OF DIGITAL LIBRARIES, TPDL 2023

Abstract
Archives preserve materials that allow us to understand and interpret the past and think about the future. With the evolution of the information society, archives must take advantage of technological innovations and adapt to changes in the kind and volume of the information created. Semantic Web representations are appropriate for structuring archival data and linking them to external sources, allowing versatile access by multiple applications. ArchOnto is a new Linked Data Model based on CIDOC CRM to describe archival objects. ArchOnto combines specific aspects of archiving with the CIDOC CRM standard. In this work, we analyze the ArchOnto representation of a set of archival records from the Portuguese National Archives and compare it to their CIDOC CRM representation. As a result of ArchOnto's representation, we observe an increase in the number of classes used, from 20 in CIDOC CRM to 28 in ArchOnto, and in the number of properties, from 25 in CIDOC CRM to 28 in ArchOnto. This growth stems from the refinement of object types and their relationships, favouring the use of controlled vocabularies. ArchOnto provides higher readability for the information in archival records, keeping it in line with current standards.

2023

Moving from ISAD(G) to a CIDOC CRM-based Linked Data Model in the Portuguese Archives

Authors
Koch, I; Lopes, CT; Ribeiro, C;

Publication
ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE

Abstract
Archives are facing numerous challenges. On the one hand, archival assets are evolving to encompass digitized documents and increasing quantities of born-digital information in diverse formats. On the other hand, the audience is changing along with how it wishes to access archival material. Moreover, the interoperability requirements of cultural heritage repositories are growing. In this context, the Portuguese Archives started an ambitious program aiming to evolve its data model, migrate existing records, and build a new archival management system appropriate to both archival tasks and public access. The overall goal is to have a fine-grained and flexible description, more machine-actionable than the current one. This work describes ArchOnto, a linked open data model for archives, and rules for its automatic population from existing records. ArchOnto adopts a semantic web approach and encompasses the CIDOC Conceptual Reference Model and additional ontologies, envisioning interoperability with datasets curated by multiple communities of practice. Existing ISAD(G)-conforming descriptions are being migrated to the new model using the direct mappings provided here. We used a sample of 25 records associated with different description levels to validate the completeness and conformity of ArchOnto to existing data. This work is in progress and is original in several respects: (1) it is one of the first approaches to use CIDOC CRM in the context of archives, identifying problems and questions that emerged during the process and pinpointing possible solutions; (2) it addresses the balance in the model between the migration of existing records and the construction of new ones by archive professionals; and (3) it adopts an open world view on linking archival data to global information sources.

2023

Moving from ISAD(G) to a CIDOC CRM-based Linked Data Model in the Portuguese Archives

Authors
Koch, I; Lopes, CT; Ribeiro, C;

Publication
ACM Journal on Computing and Cultural Heritage

Abstract

2022

Linked Archives 2022 International Workshop - Preface

Authors
Lopes, CT; Ribeiro, C; Niccolucci, F; Villalón, MP; Freire, N;

Publication
Proceedings of the 26th International Conference on Theory and Practice of Digital Libraries - Workshops and Doctoral Consortium, Padua, Italy, September 20, 2022.

Abstract
[No abstract available]

Supervised
thesis

2022

Shaping the Internet: practices that restrict users' informational access

Author
Hermann Bergmann Garcia e Silva

Institution
UP-FEUP

2022

Desenvolvimento de Uma Antena Inteligente Para 28 GHz

Author
Margarida Granja Costa

Institution
UP-FEUP

2022

Research data description in multiple domains: supporting researchers with data management plans

Author
Yulia Karimova

Institution
UP-FEUP

2022

Data Analysis in the BIG DATA scope in Basketball

Author
DIOGO FILIPE PINTO ALVES

Institution
IPP-ISEP

2022

Um Modelo de adaptação de health games comunitários em ambiente de rede social

Author
Anabela Gonçalves Rodrigues Marto

Institution
UTAD