Open AccessAdvancing post‐genome data and system integration through machine learning
Author(s) -
Azuaje Francisco
Publication year - 2002
Publication title -
comparative and functional genomics
Language(s) - English
Resource type - Journals
eISSN - 1532-6268
pISSN - 1531-6912
DOI - 10.1002/cfg.129
Subject(s) - exploit , computer science , markup language , data integration , data science , semantic web , world wide web , database , xml , computer security
Research on biological data integration has traditionally focused on thedevelopment of systems for the maintenance and interconnection of databases.In the next few years, public and private biotechnology organisations willexpand their actions to promote the creation of a post‐genome semantic web.It has commonly been accepted that artificial intelligence and data miningtechniques may support the interpretation of huge amounts of integrated data.But at the same time, these research disciplines are contributing to the creation ofcontent markup languages and sophisticated programs able to exploit the constraintsand preferences of user domains. This paper discusses a number of issues onintelligent systems for the integration of bioinformatic resources. Copyright© 2001 John Wiley & Sons, Ltd.