LINKED DATA AND NANOPUBLICATIONS IN GLAM CONTEXTS

A METHODOLOGICAL WORKFLOW

Authors

  • Henrique Monteiro Cristovão Federal University of Espírito Santo image/svg+xml

Keywords:

linked data, operational ontology, nanopublication, GLAM, semantic interoperability

Abstract

Galleries, libraries, archives, and museums (GLAM) deal with heterogeneous collections described through different systems, spreadsheets, catalogues, vocabularies, and institutional practices. This diversity hinders the integration, interoperability, retrieval, traceability, and reuse of cultural data. In this context, linked data, operational ontologies, and nanopublications can contribute to structuring, connecting, querying, and publishing cultural information in a more interoperable and verifiable way. The objective of this article is to present a methodological workflow to guide the semantic representation, connection, retrieval, and publication of data in GLAM contexts, articulating data preparation, conceptual modeling, controlled vocabularies, operational ontologies, semantic alignment, RDF graphs, SPARQL queries, and nanopublications. The proposal was developed based on five methodological reference approaches: Ontology Development 101, OntoForInfoScience, Linked Open Terms, Linked Data for Libraries, Archives and Museums, and SABiOx. Methodologically, this is an applied, exploratory, and propositional study, resulting in a workflow organized into five analytical blocks, 11 layers, and 32 stages. The workflow is being tested in a master’s-level course in Information Science, but the article is not configured as a completed experience report. It concludes that the main contribution of the proposal lies in integrating ontology development, linked data practices in GLAM, and the granular publication of assertions with provenance, offering a concise and documented methodological path applicable both to small experimental subsets and to incremental initiatives for the semantic organization of cultural data.

Author Biography

  • Henrique Monteiro Cristovão, Federal University of Espírito Santo

    Postdoctoral researcher in Information Science at the University of Lisbon, with research focused on Digital Humanities and Network Science. PhD in Information Science from the University of Brasília (UnB), with a doctoral research internship at the Institute for Human and Machine Cognition (IHMC, USA). MSc in Informatics from the Federal University of Espírito Santo (UFES). BA in Applied and Computational Mathematics from UFES. Recipient of the CNPq/FAPES DT Productivity Fellowship, Call 18/2024. Professor in the Graduate Program in Information Science (PPGCI/UFES) and Associate Professor in the Department of Archival Science at UFES. Leader of the Networked Knowledge Organization and Retrieval Research Group (NetKOR), registered with CNPq. Coordinator of the Laboratory of Information Science, Data, and Technology – Cidat Lab/PPGCI/UFES.

    Current research interests include: networked organization, representation, and retrieval of information and knowledge; interoperability, metadata, ontologies, linked data, and nanopublications in the Semantic Web; and Data Science from an Information Science perspective, with emphasis on data preparation and quality, information network analysis, and processes of data, information, and knowledge discovery and visualization.

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Published

2026-11-13

Conference Proceedings Volume

2026: XXVI ENCONTRO NACIONAL DE PESQUISA E PÓS-GRADUAÇÃO EM CIÊNCIA DA INFORMAÇÃO

Section

GT 8 – Dados, Informação e Tecnologia

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