Mistakes in medical ontologies: where do they come from and how can they be detected?
about
The OBO Foundry: coordinated evolution of ontologies to support biomedical data integrationClassifying orofacial pains: a new proposal of taxonomy based on ontologyA review of auditing methods applied to the content of controlled biomedical terminologiesGetting the foot out of the pelvis: modeling problems affecting use of SNOMED CT hierarchies in practical applications.Negative findings in electronic health records and biomedical ontologies: a realist approach.Quality control for terms and definitions in ontologies and taxonomies.Relationship auditing of the FMA ontology.Auditing associative relations across two knowledge sources.Improving ontologies by automatic reasoning and evaluation of logical definitions.Manual curation is not sufficient for annotation of genomic databasesUsing the abstraction network in complement to description logics for quality assurance in biomedical terminologies - a case study in SNOMED CTA unified framework for biomedical terminologies and ontologiesAuditing as part of the terminology design life cycleAuditing complex concepts of SNOMED using a refined hierarchical abstraction network.Automated comparative auditing of NCIT genomic roles using NCBI.Ontology quality assurance through analysis of term transformations.Structural group-based auditing of missing hierarchical relationships in UMLS.Content-specific auditing of a large scale anatomy ontology.From SNOMED CT to Uberon: Transferability of evaluation methodology between similarly structured ontologies.Analysis of error concentrations in SNOMED.
P2860
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P2860
Mistakes in medical ontologies: where do they come from and how can they be detected?
description
2004 nî lūn-bûn
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2004年の論文
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2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Mistakes in medical ontologies: where do they come from and how can they be detected?
@en
type
label
Mistakes in medical ontologies: where do they come from and how can they be detected?
@en
prefLabel
Mistakes in medical ontologies: where do they come from and how can they be detected?
@en
P2093
P1476
Mistakes in medical ontologies: where do they come from and how can they be detected?
@en
P2093
Anand Kumar
Barry Smith
Christoffel Dhaen
P304
P577
2004-01-01T00:00:00Z