[Concepts of ontology-based neuroinformatics and their relations]

Abstract

Objective: To supply good information integration, knowledge representation, text mining, intellectual education and data sharing services by setting up neuroinformatics ontology.

Methods: By analyzing the structures and contents of current ontologies in the biomedical field, such as UMLS, Gene Ontology, Cancer Ontology, Anatomy Ontology, Disease Ontology and Drug Ontology, the concepts and their relationships of neuroinformatics were discussed and the design principles, standards and norms, building methods and basic procedures of multi-level concept semantic networks-based neuroinformatics ontology constructed by Protege-OWL tool were presented in this article.

Results: A multi-level concept semantic network-based OWL (web ontology language) neuroinformatics ontology was built.

Conclusion: The neuroinformatics ontology can bring about explicit definitions of concepts and their relationships in the field of neuroinformatics from different formal models, build clear theoretical framework for neuroinformatics, achieve a common understanding of related field knowledge and supply good services of information integration, knowledge representation, text mining, intelligent education and data sharing.