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Related Experiment Video

Updated: May 10, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

NCBO Technology: Powering semantically aware applications.

Patricia L Whetzel1,

  • 1Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA 94305, USA. whetzel@stanford.edu.

Journal of Biomedical Semantics
|June 6, 2013
PubMed
Summary
This summary is machine-generated.

The National Center for Biomedical Ontology developed BioPortal and NCBO Web services to manage increasing biomedical data. These services facilitate data annotation, integration, and information retrieval using a vast repository of ontologies.

Related Experiment Videos

Last Updated: May 10, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Area of Science:

  • Biomedical Informatics
  • Semantic Web Technologies
  • Bioinformatics

Background:

  • Increasing biomedical data necessitates advanced management strategies.
  • The Semantic Web and ontologies offer solutions for organizing and integrating diverse data sources.
  • Ontologies are crucial for tasks like data annotation, information retrieval, and clinical decision support.

Purpose of the Study:

  • To describe the National Center for Biomedical Ontology (NCBO) Web services and widgets.
  • To highlight how these services facilitate the integration of biomedical ontologies into applications.
  • To provide an overview of applications leveraging NCBO services for ontology development, data annotation, and integration.

Main Methods:

  • Development and provision of the National Center for Biomedical Ontology (NCBO) BioPortal, a large repository of biomedical ontologies.
  • Creation of NCBO Web services categorized into Ontology, Mapping, Annotation, and Data Access.
  • Development of NCBO Widgets for direct integration of ontology services into websites.

Main Results:

  • NCBO Web services offer programmatic access to ontologies, metadata, mappings, and an index of data resources.
  • The NCBO Annotator service automatically tags text with ontology terms.
  • NCBO Widgets enable direct use of ontology services on web platforms.

Conclusions:

  • NCBO Web services and widgets provide essential tools for building semantically aware applications.
  • These services support critical biomedical informatics tasks including ontology development, data annotation, and integration.
  • The integration of these tools enhances the usability and accessibility of biomedical ontologies for researchers.