Publication:
Using Data Fabric Architecture to Create Personalized Visual Analytics Systems in the Field of Digital Medicine

creativeworkseries.issn2079-3537
dc.contributor.authorChuprina, S. I.
dc.date.accessioned2024-11-13T13:36:23Z
dc.date.available2024-11-13T13:36:23Z
dc.date.issued2023
dc.description.abstractThe paper describes an innovative approach of applying data factory technologies, which have found their successful practical application to create new generations of corporate data warehouses, are proposed to be used to develop personalized visual analytics environments. The approach provides access to digital data of a particular person from both heterogeneous distributed external and local sources not on the principles of their consolidation, but on the principles of virtual integration. The application of the described approach is demonstrated by the example of the development of visual analytics tools in the field of digital medicine. The emphasis is on the technological aspects of applying the concept of data factories for the development of personalized visual analytics services, means of semantic integration of heterogeneous data sources and their adaptation not only to heterogeneous structured and unstructured data sources, but also to the semantic content of various subject areas.
dc.identifier.doi10.26583/sv.15.5.05
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/16159
dc.identifier.urihttp://sv-journal.org/2023-5/05/
dc.publisherНИЯУ МИФИ
dc.subjectVisual analytics
dc.subject4P medicine
dc.subjectKnowledge graph
dc.subjectSemantic integration
dc.subjectSemantic Web
dc.subjectOntology engineering
dc.subjectData federation
dc.subjectData Fabric
dc.titleUsing Data Fabric Architecture to Create Personalized Visual Analytics Systems in the Field of Digital Medicine
dc.typeArticle
dspace.entity.typePublication
relation.isJournalIssueOfPublication33f9cd76-09b4-4e9a-a82b-2355d79ca4da
relation.isJournalIssueOfPublication.latestForDiscovery33f9cd76-09b4-4e9a-a82b-2355d79ca4da
relation.isJournalOfPublication95b5bb8c-faac-4680-a70f-5adf56268bdc
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