The semantic data dictionary - an approach for describing and annotating data

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dc.creatorSabbir M.rashid
dc.creatorJames P. Mccusker
dc.creatorPaulo Pinheiro
dc.creatorMarcello Peixoto Bax
dc.creatorHenrique Santos
dc.creatorJeanette A. Stingone
dc.creatorAmar K. Das
dc.creatorDeborah L. Mcguinness
dc.date.accessioned2024-12-10T10:19:19Z
dc.date.accessioned2025-09-09T00:46:50Z
dc.date.available2024-12-10T10:19:19Z
dc.date.issued2020
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.description.sponsorshipOutra Agência
dc.format.mimetypepdf
dc.identifier.doi10.1162/dint_a_00058
dc.identifier.issn2641-435X
dc.identifier.urihttps://hdl.handle.net/1843/78539
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofData Intelligence
dc.rightsAcesso Aberto
dc.subjectModelagem do conhecimento
dc.subjectDicionários
dc.subjectPadrões de metadados
dc.subjectWeb semântica
dc.subjectDados
dc.subject.otherSemantic Data Dictionary
dc.subject.otherDictionary mapping
dc.subject.otherCodebook
dc.subject.otherKnowledge modeling
dc.subject.otherData integration
dc.subject.otherData dictionary
dc.titleThe semantic data dictionary - an approach for describing and annotating data
dc.typeArtigo de periódico
local.citation.epage486
local.citation.issue4
local.citation.spage443
local.citation.volume2
local.description.resumoIt is common practice for data providers to include text descriptions for each column when publishing data sets in the form of data dictionaries. While these documents are useful in helping an end-user properly interpret the meaning of a column in a data set, existing data dictionaries typically are not machine-readable and do not follow a common specification standard. We introduce the Semantic Data Dictionary, a specification that formalizes the assignment of a semantic representation of data, enabling standardization and harmonization across diverse data sets. In this paper, we present our Semantic Data Dictionary work in the context of our work with biomedical data; however, the approach can and has been used in a wide range of domains. The rendition of data in this form helps promote improved discovery, interoperability, reuse, traceability, and reproducibility. We present the associated research and describe how the Semantic Data Dictionary can help address existing limitations in the related literature. We discuss our approach, present an example by annotating portions of the publicly available National Health and Nutrition Examination Survey data set, present modeling challenges, and describe the use of this approach in sponsored research, including our work on a large National Institutes of Health (NIH)-funded exposure and health data portal and in the RPI-IBM collaborative Health Empowerment by Analytics, Learning, and Semantics project. We evaluate this work in comparison with traditional data dictionaries, mapping languages, and data integration tools.
local.publisher.countryBrasil
local.publisher.departmentECI - DEPARTAMENTO DE TEORIA E GESTÃO INFORMAÇÃO
local.publisher.initialsUFMG
local.url.externahttps://direct.mit.edu/dint/article/2/4/443/94892/The-Semantic-Data-Dictionary-An-Approach-for

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