document: DIDO : a disease-determinants ontology from web sources This paper introduces DIDO , a system providing convenient access to knowledge about factors involved in human diseases , automatically extracted from textual Web sources . The knowledge base is bootstrapped by integrating entities from hand-crafted sources like MeSH and OMIM . As these are short on relationships between dierent types of biomedical entities , DIDO employs flexible and robust pattern learning and constraint-based reasoning methods to automatically extract new relational facts from textual sources . These facts can then be iteratively added to the knowledge base . The result is a semantic graph of typed entities and relations between diseases , their symptoms , and their factors , with emphasis on environmental factors but covering also molecular determinants . We demonstrate the value of DIDO for knowledge discovery about causal factors and properties of complex diseases , including factor-disease chains .
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