Combining semantic and lexical measures to evaluate medical terms similarity
Data Integration in the Life Science (DILS) 2018
The use of similarity measures in various domains is a cornerstone for diﬀerent tasks ranging from ontology alignment to information retrieval. To this end, existing metrics can be classiﬁed into several categories among which lexical and semantic families of similarity measures predominate but have rarely been combined to complete the aforementioned tasks. In this paper, we propose an original approach combining lexical and ontology-based semantic similarity measures to improve the evaluation of terms relatedness. We validate our approach through a set of experiments based on a corpus of reference constructed by domain experts of the medical ﬁeld and further evaluate the impact of ontology evolution on the used semantic similarity measures.