The Semantic Measures Library and Toolkit are robust open source and easy to use software solutions dedicated to semantic measures. They can be used for large-scale computation and analysis of semantic similarities, proximities or distances between terms or concepts defined in knowledge representations, e.g., structured vocabularies, taxonomies, RDF graphs. The comparison of instances (e.g., documents, patient records, genes) annotated by concepts is also supported. An important aspect of these new solutions is that they are generic and are therefore not tailored to a specic application context. They can thus be used with various controlled vocabularies and knowledge representation languages (e.g. OBO, RDF, OWL). The
project targets both designers and practitioners of semantic measures providing a JAVA source code library, as well as a command-line toolkit which can be used on personal computers or computer clusters.
The library implements a large collection of state-of-the-art measures and several parametric measures provide fine-grained tuning capabilities for specic usage contexts. The Semantic Measures Library and Toolkit aim at equipping communities studying and using semantic measures with robust, reliable and efficient, open source, generic and easy to use tools dedicated to semantic measures. Downloads, documentations, updates and community support are available at http://www.semantic-measures-library.org
The Semantic Measures Library and Toolkit: fast computation of semantic similarity and relatedness using biomedical ontologies. Sebastien Harispe, Sylvie Ranwez, Stefan Janaqi, Jacky Montmain. Oxford Bioinformatics 2013.