Mining knowledge from corpora: an application to retrieval and indexing.

Unlabelled: The present work aims at discovering new associations between medical concepts to be exploited as input in retrieval and indexing.
Material and Methods: Association rules method is applied to documents. The process is carried out on three major document categories referring to e-health information consumers: health professionals, students and lay people. Association rules evaluation is founded on statistical measures combined with domain knowledge.
Results: Association rules represent existing relations between medical concepts (60.62%) and new knowledge (54.21%). Based on observations, 463 expert rules are defined by medical librarians for retrieval and indexing.
Conclusions: Association rules bear out existing relations, produce new knowledge and support users and indexers in document retrieval and indexing.