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A Knowledge Graph Framework for Dementia Research Data

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dc.contributor.authorTimón Reina, Santiago
dc.contributor.authorKirsebom, Bjørn-Eivind
dc.contributor.authorFladby, Tormod
dc.contributor.authorRincón Zamorano, Mariano
dc.contributor.authorMartínez Tomás, Rafael
dc.date.accessioned2024-05-20T11:43:25Z
dc.date.available2024-05-20T11:43:25Z
dc.date.issued2023-09-20
dc.description.abstractDementia disease research encompasses diverse data modalities, including advanced imaging, deep phenotyping, and multi-omics analysis. However, integrating these disparate data sources has historically posed a significant challenge, obstructing the unification and comprehensive analysis of collected information. In recent years, knowledge graphs have emerged as a powerful tool to address such integration issues by enabling the consolidation of heterogeneous data sources into a structured, interconnected network of knowledge. In this context, we introduce DemKG, an open-source framework designed to facilitate the construction of a knowledge graph integrating dementia research data, comprising three core components: a KG-builder that integrates diverse domain ontologies and data annotations, an extensions ontology providing necessary terms tailored for dementia research, and a versatile transformation module for incorporating study data. In contrast with other current solutions, our framework provides a stable foundation by leveraging established ontologies and community standards and simplifies study data integration while delivering solid ontology design patterns, broadening its usability. Furthermore, the modular approach of its components enhances flexibility and scalability. We showcase how DemKG might aid and improve multi-modal data investigations through a series of proof-of-concept scenarios focused on relevant Alzheimer’s disease biomarkers.en
dc.description.versionversión publicada
dc.identifier.doihttp://doi.org/10.3390/app131810497
dc.identifier.issn2076-3417
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12468
dc.journal.issue18
dc.journal.titleApplied Sciences
dc.journal.volume13
dc.language.isoen
dc.publisherMDPI
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInteligencia Artificial
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.es
dc.subject.keywordsknowledge graphs
dc.subject.keywordsontologies
dc.subject.keywordsgraph databases
dc.subject.keywordsdata modeling
dc.subject.keywordsdementia
dc.subject.keywordsomics
dc.titleA Knowledge Graph Framework for Dementia Research Dataes
dc.typejournal articleen
dc.typeartículoes
dspace.entity.typePublication
relation.isAuthorOfPublication06a389cc-435e-4713-a8d7-8350f08ea1a8
relation.isAuthorOfPublicationc87ba267-e907-4b5f-ad5f-319c1cb3d3cd
relation.isAuthorOfPublication.latestForDiscovery06a389cc-435e-4713-a8d7-8350f08ea1a8
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