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The tissue microarray OWL schema: An open-source tool for sharing tissue microarray data
Author(s) -
Hyunseok P. Kang,
Charles Borromeo,
Jules J. Berman,
Michael J. Becich
Publication year - 2010
Publication title -
journal of pathology informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.009
H-Index - 17
ISSN - 2153-3539
DOI - 10.4103/2153-3539.65347
Subject(s) - computer science , rdf , identifier , xml , information retrieval , data integration , data sharing , web ontology language , data exchange , linked data , world wide web , semantic web , database , programming language , medicine , alternative medicine , pathology
Tissue microarrays (TMAs) are enormously useful tools for translational research, but incompatibilities in database systems between various researchers and institutions prevent the efficient sharing of data that could help realize their full potential. Resource Description Framework (RDF) provides a flexible method to represent knowledge in triples, which take the form Subject-Predicate-Object. All data resources are described using Uniform Resource Identifiers (URIs), which are global in scope. We present an OWL (Web Ontology Language) schema that expands upon the TMA data exchange specification to address this issue and assist in data sharing and integration.

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