Biomedical data are a rich source of information and knowledge, not only for direct patient
care, but also for secondary use in population health, clinical research, and translational …

Biomedical data are a rich source of information and knowledge. Not only are they useful for
direct patient care, but they may also offer answers to important population-based questions …

An open research question when leveraging ontological knowledge is when to treat different
concepts separately from each other and when to aggregate them. For instance, concepts …

Background Computing semantic relatedness between textual labels representing
biological and medical concepts is a crucial task in many automated knowledge extraction …

Abstract Concept mapping is a fundamental task in biomedical text mining in which textual
mentions of concepts of interest are annotated with specific entries of lexicons …

Data integration is a crucial task in the biomedical domain. Data elements (DEs) play an
important role in data integration and we propose to map DEs to terminological resources as …

A common and ordinary way of representing a text is as a Bag of its component Words BoW.
This Representation suffers from the lack of sense in resulting representations ignoring all …

The objective of this work is to investigate the feasibility of conceptual similarity metrics in the
framework of the Unified Medical Language System (UMLS). We have investigated an …

Computation of semantic similarity between concepts is a very common problem in many
language related tasks and knowledge domains. In the biomedical field, several approaches …

Background While enrichment of terminologies can be achieved in different ways, filling
gaps in the IS-A hierarchy backbone of a terminology appears especially promising. To …