Adapting experimental ontologies for molecular epidemiology.

Helena F. Deus; Marta Aires de Sousa; Joao A. Carrico; Herminia de Lencastre; Jonas S. Almeida

Adapting experimental ontologies for molecular epidemiology.

Helena F. Deus
, Marta Aires de Sousa
, Joao A. Carrico
, Herminia de Lencastre
, Jonas S. Almeida

Elsevier Labs

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

We have identified a set of indicators to track usage patterns of ontologies developed using the semantically explicit S3DB model (www.s3db.org, Nature Biotechnology (2006) 24(9):1070-1071). These indicators are quantitative measures that assess the maturity of the data model. As a case study, we have allowed experimental researchers working on molecular epidemiology to incubate a data model for molecular epidemiology by restructuring the underlying ontology and evaluating it with real data.

Original language	English
Pages (from-to)	935
Number of pages	1
Journal	AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
State	Published - 2007

Cite this

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AU - Deus, Helena F.

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AU - Carrico, Joao A.

AU - Lencastre, Herminia de

AU - Almeida, Jonas S.

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N2 - We have identified a set of indicators to track usage patterns of ontologies developed using the semantically explicit S3DB model (www.s3db.org, Nature Biotechnology (2006) 24(9):1070-1071). These indicators are quantitative measures that assess the maturity of the data model. As a case study, we have allowed experimental researchers working on molecular epidemiology to incubate a data model for molecular epidemiology by restructuring the underlying ontology and evaluating it with real data.

AB - We have identified a set of indicators to track usage patterns of ontologies developed using the semantically explicit S3DB model (www.s3db.org, Nature Biotechnology (2006) 24(9):1070-1071). These indicators are quantitative measures that assess the maturity of the data model. As a case study, we have allowed experimental researchers working on molecular epidemiology to incubate a data model for molecular epidemiology by restructuring the underlying ontology and evaluating it with real data.

UR - https://www.scopus.com/pages/publications/56149110994

M3 - Artículo

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AN - SCOPUS:56149110994

SN - 1559-4076

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JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

ER -

Adapting experimental ontologies for molecular epidemiology.

Abstract

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