<p>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p> <p>Research on biological data integration has traditionally focused on the development of
systems for the maintenance and interconnection of databases. In the next few years,
public and private biotechnology organisations will expand their actions to promote the
creation of a post-genome semantic web. It has commonly been accepted that artificial
intelligence and data mining techniques may support the interpretation of huge amounts of
integrated data. But at the same time, these research disciplines are contributing to the
creation of content markup languages and sophisticated programs able to exploit the
constraints and preferences of user domains. This paper discusses a number of issues on
intelligent systems for the integration of bioinformatic resources.</p>
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Comp Funct Genomics. 2002 Feb; 3(1):28-31