MCKG: A Community-Driven Knowledge Graph on Medieval Charters

Medieval charters constitute primary sources for understanding medieval societies, yet their analysis remains a labor-intensive process reliant on domain experts, leaving extensive digitized collections insufficiently analyzed. To address this challenge, we present the Medieval Charters Knowledge Graph (MCKG), a Wikibase-based dataset that integrates expert annotations and computationally extracted information from medieval charters within a provenance-aware framework designed to support collaborative curation and future community participation. The dataset relies on a hybrid data model that combines elements from CIDOC-CRM and the Wikidata data model to capture the complex legal, social, and biographical relationships in medieval charters. A standardized integration pipeline enables the transformation of annotated corpora into structured RDF data and facilitates scalable corpus ingestion into the MCKG. We demonstrate the dataset by populating the MCKG with a corpus of Spanish medieval charters and answering SPARQL-based competency questions that illustrate its analytical potential for historical research.

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Journal
Semantic Web
Published
2026-10-26
DOI
https://doi.org/10.1177/22104968261499445
Primary Topic
Semantic Web and Ontologies
Type
article
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article

MCKG: A Community-Driven Knowledge Graph on Medieval Charters

José Emilio Labra Gayo, Enrique Rodríguez-Martín, Jorge Álvarez-Fidalgo
Semantic Web
Semantic Web and Ontologies
article

MCKG: A Community-Driven Knowledge Graph on Medieval Charters

José Emilio Labra Gayo, Enrique Rodríguez-Martín, Jorge Álvarez-Fidalgo
article en

Abstract

Medieval charters constitute primary sources for understanding medieval societies, yet their analysis remains a labor-intensive process reliant on domain experts, leaving extensive digitized collections insufficiently analyzed. To address this challenge, we present the Medieval Charters Knowledge Graph (MCKG), a Wikibase-based dataset that integrates expert annotations and computationally extracted information from medieval charters within a provenance-aware framework designed to support collaborative curation and future community participation. The dataset relies on a hybrid data model that combines elements from CIDOC-CRM and the Wikidata data model to capture the complex legal, social, and biographical relationships in medieval charters. A standardized integration pipeline enables the transformation of annotated corpora into structured RDF data and facilitates scalable corpus ingestion into the MCKG. We demonstrate the dataset by populating the MCKG with a corpus of Spanish medieval charters and answering SPARQL-based competency questions that illustrate its analytical potential for historical research.

Semantic WebVol. 17(6)
Universidad de Oviedo (ES)
Openalex Percentile: Top 13%
Semantic Web and Ontologies
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