CNTRO 2.0: A Harmonized Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives

CNTRO 2.0: A Harmonized Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives

The Clinical Narrative Temporal Relation Ontology (CNTRO) has been developed for the purpose of allowing temporal information of clinical data to be semantically annotated and queried, and using inference to expose new temporal features and relations based on the semantic assertions and definitions...

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Main Authors: Tao, Cui, Solbrig, Harold R., Chute, Christopher G.
Format: Online
Language:English
Published: American Medical Informatics Association 2011
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3248753/
id pubmed-3248753
recordtype oai_dc
spelling pubmed-32487532011-12-30 CNTRO 2.0: A Harmonized Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives Tao, Cui Solbrig, Harold R. Chute, Christopher G. Articles The Clinical Narrative Temporal Relation Ontology (CNTRO) has been developed for the purpose of allowing temporal information of clinical data to be semantically annotated and queried, and using inference to expose new temporal features and relations based on the semantic assertions and definitions of the temporal aspects in the ontology. While CNTRO provides a formal semantic foundation to leverage the semantic-web techniques, it is still necessary to arrive at a shared set of semantics and operational rules with commonly used ontologies for the time domain. This paper introduces CNTRO 2.0, which tries to harmonize CNTRO 1.0 and a list of existing time ontologies or top-level ontologies into a unified model—an OWL based ontology of temporal relations for clinical research. American Medical Informatics Association 2011-03-07 /pmc/articles/PMC3248753/ /pubmed/22211182 Text en ©2011 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Tao, Cui
Solbrig, Harold R.
Chute, Christopher G.
spellingShingle Tao, Cui
Solbrig, Harold R.
Chute, Christopher G.
CNTRO 2.0: A Harmonized Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives
author_facet Tao, Cui
Solbrig, Harold R.
Chute, Christopher G.
author_sort Tao, Cui
title CNTRO 2.0: A Harmonized Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives
title_short CNTRO 2.0: A Harmonized Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives
title_full CNTRO 2.0: A Harmonized Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives
title_fullStr CNTRO 2.0: A Harmonized Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives
title_full_unstemmed CNTRO 2.0: A Harmonized Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives
title_sort cntro 2.0: a harmonized semantic web ontology for temporal relation inferencing in clinical narratives
description The Clinical Narrative Temporal Relation Ontology (CNTRO) has been developed for the purpose of allowing temporal information of clinical data to be semantically annotated and queried, and using inference to expose new temporal features and relations based on the semantic assertions and definitions of the temporal aspects in the ontology. While CNTRO provides a formal semantic foundation to leverage the semantic-web techniques, it is still necessary to arrive at a shared set of semantics and operational rules with commonly used ontologies for the time domain. This paper introduces CNTRO 2.0, which tries to harmonize CNTRO 1.0 and a list of existing time ontologies or top-level ontologies into a unified model—an OWL based ontology of temporal relations for clinical research.
publisher American Medical Informatics Association
publishDate 2011
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3248753/
_version_ 1611497449185083392

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