Databases and Ontologies

A database is a collection of data organized into a structured format and served to facilitate access or update of the data by users. Ontologies are a computer-aided formal representation of a set of concepts and relationships in a particular domain of knowledge. Databases and ontologies are important in the field of data management, providing answers to complex queries and allowing for more efficient data retrieval. They are increasingly being used in various applications, from medical and health sciences to natural language processing and machine learning. Ontologies are particularly useful for knowledge management tasks and have been applied in fields such as computational biology and bioinformatics. Through the use of ontologies, users are able to access and use knowledge in a more intuitive and efficient manner. Moreover, ontologies allow for improved search results and better understanding of the domain knowledge.

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Genetic Engineering

ISSN: 2694-1198
Type: Open Access Journal
Editor-in-Chief: Tao Xu, Joslin Diabetes Center and Harvard Medical School
Journal of Genetic Engineering is an international peer reviewed journal that accepts and publishes manuscripts in the form of original Research, Review, Literature review, Conference proceedings, Case reports, Short communication, Thesis, Letter to editor and Editorials covering all the areas of genetic engineering with new principles.