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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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Published on: February 23, 2019

COEUS: "semantic web in a box" for biomedical applications.

Pedro Lopes1, José Luís Oliveira

  • 1DETI/IEETA, Universidade de Aveiro, Campus Universitário de Santiago, Aveiro, 3810 - 193, Portugal. pedrolopes@ua.pt.

Journal of Biomedical Semantics
|December 19, 2012
PubMed
Summary

COEUS is a new semantic web framework designed to streamline bioinformatics application development. It offers integrated tools for data management and interoperability, accelerating the creation of semantic information systems.

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Area of Science:

  • Bioinformatics
  • Semantic Web Technologies
  • Life Sciences

Background:

  • The
  • omics
  • revolution necessitates advanced bioinformatics software to manage growing data complexity.
  • Semantic web technologies offer powerful solutions for representing complex biological relationships.
  • Current adoption of semantic web in bioinformatics remains limited.

Purpose of the Study:

  • Introduce COEUS, a novel semantic web framework for bioinformatics.
  • Simplify and accelerate the development of semantic applications in life sciences.
  • Facilitate data integration and knowledge discovery through a unified platform.

Main Methods:

  • Developed a "semantic web in a box" framework.
  • Integrated tools for data triplification and ontology mapping.
  • Implemented a web-oriented engine with a flexible exploration API.
  • Enabled interoperability via REST services, SPARQL endpoint, and Linked Data publication.

Main Results:

  • COEUS provides a streamlined application development cycle.
  • Facilitates integration of heterogeneous data sources (CSV, XML, SQL, SPARQL).
  • Enables creation of diverse applications (web, desktop, mobile) and a knowledge federation layer.

Conclusions:

  • COEUS offers a robust platform for biomedical application developers.
  • Enhances rapid deployment of new semantic information systems.
  • Available as open-source software to foster wider adoption and development.