My main research interests concern Medical Case-Based Retrieval, Link Prediction and Information Extraction.
My main research is orientated to the extraction and usage of meaningful relations that can be found within text, to improve the retrieval of medical case reports through the use of document-level machine-readable semantic networks that can be leverged to semantically represent and compare documents. To make use of such networks and their semantic potential, it is necessary to extract and link relations between them. Relations are typically in the form of triples (s,p,o), where s stands for subject, p for predicate and o for object. Therefore, relation extraction methods, along with link prediction techniques on multi-relational data, are part of my research focus. The domain of interest where to apply such methodology is the medical domain.