Research Interests Comparator (RIC) is our fourth electronic text mining project. The goal of the RIC system is to dramatically improve the ability of biomedical researchers to find information that is relevant to their areas of study, and to provide them
Powerful Search Engine designed for Document Management, Competitive Intelligence, Press Analysis and Text Mining, Web Mining, Knowledge Discovery, Strategic Watch...Has Report Writer, Web Spider, Publisher, more...
* Linking Biomedical Information Through Text Mining * Semantic Webs for Life Sciences * Computational Approaches for Pharmacogenomics * Computational Proteomics
The semantic web must "explain the meaning of words" to computers. Some semantic technologies use a "bottom up" by embedding semantic annotations (metadata) into web content. "Top down" technologies analyze information without metadata using some form of
The semantic web must "explain the meaning of words" to computers. Some semantic technologies use a "bottom up" by embedding semantic annotations (metadata) into web content. "Top down" technologies analyze information without metadata using some form of