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Ontology based mining of pathogen–disease associations from literature
Senay Kafkas
,
Robert Hoehndorf
Computer, Electrical and Mathematical Sciences and Engineering
Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Scopus citations
Overview
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Keyphrases
Ontological Basis
100%
Infectious Disease Research
100%
Developing Countries
33%
Publicly Available
33%
Statistical Methods
33%
Automated Method
33%
Computational Study
33%
Valuable Resources
33%
Text Mining Tool
33%
Infection Process
33%
Disease Mechanisms
33%
SPARQL Endpoint
33%
Background Knowledge
33%
Causative Pathogen
33%
Ontology Development
33%
Open Resources
33%
Medicine and Dentistry
Infection
100%
Pathogen
75%
Diseases
50%
Statistical Analysis
25%
Pharmacology, Toxicology and Pharmaceutical Science
Infection
100%
Infectious Agent
75%
Diseases
50%
Agricultural and Biological Sciences
Endpoints
100%
Publications
100%
Biochemistry, Genetics and Molecular Biology
Infectious Agent
100%
Extract
33%