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Structuring and extracting knowledge for the support of hypothesis generation in molecular biology
2009
BMC Bioinformatics
Hypothesis generation in molecular and cellular biology is an empirical process in which knowledge derived from prior experiments is distilled into a comprehensible model. The requirement of automated support is exemplified by the difficulty of considering all relevant facts that are contained in the millions of documents available from PubMed. Semantic Web provides tools for sharing prior knowledge, while information retrieval and information extraction techniques enable its extraction from
doi:10.1186/1471-2105-10-s10-s9
pmid:19796406
pmcid:PMC2755830
fatcat:hf7i72w2uzbm5mnzlqw774x4je