Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Ontologies and semantic data integration.

Stephen P Gardner1

  • 1BioWisdom, Harston Mill, Harston, Cambridge, UK, CB2 5GG. steve.gardner@biowisdom.com

Drug Discovery Today
|July 19, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Ontologies in drug discovery.

Drug discovery today. Technologies·2014
Same journal

Targeting the GLP-1 receptor pathways for dual management of obesity and depression.

Drug discovery today·2026
Same journal

Chemical intervention strategies targeting MYC for cancer therapy.

Drug discovery today·2026
Same journal

How many protein pairs can we chemically target?

Drug discovery today·2026
Same journal

From trial-and-error to inverse design: how AI is redefining drug delivery systems.

Drug discovery today·2026
Same journal

Critical evaluation of the key mediators causing life-threatening symptoms during human anaphylaxis.

Drug discovery today·2026
Same journal

A20 as a novel immunoregulatory target for neuroinflammation.

Drug discovery today·2026
See all related articles

Pharmaceutical research and development struggles with data integration, hindering productivity and transparency. Semantic technologies and ontologies offer a solution for organizing and applying knowledge across the business, from discovery to regulatory affairs.

Area of Science:

  • Pharmaceutical research and development
  • Data science
  • Knowledge management

Background:

  • Pharmaceutical R&D generates vast data, but current integration methods fail to boost productivity or pipelines.
  • Existing strategies struggle to organize and apply knowledge, impacting productivity and transparency in safety and regulatory processes.

Purpose of the Study:

  • To explore the potential of semantic technologies and ontologies for improving pharmaceutical R&D data integration.
  • To demonstrate how these technologies can enhance knowledge reusability and application across business functions.

Main Methods:

  • Review of current data integration challenges in pharmaceutical R&D.
  • Analysis of semantic technologies and ontology-based approaches.
  • Case study or conceptual framework for implementation.

Related Experiment Videos

Main Results:

  • Semantic technologies enable effective knowledge integration, overcoming limitations of traditional methods.
  • Ontologies facilitate reusable knowledge assets applicable across diverse business applications.
  • Improved data organization enhances transparency and supports critical safety and regulatory functions.

Conclusions:

  • Semantic technologies and ontologies are crucial for unlocking the value of pharmaceutical R&D data.
  • Implementing these solutions can significantly improve productivity, transparency, and decision-making.
  • A shift towards ontology-driven knowledge management is essential for future pharmaceutical innovation.