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Project overview

The Semantic Measures Library (SML) is a generic and open source Java library dedicated to the computation and analysis of semantic measures, e.g. semantic similarity, semantic relatedness, semantic distance, etc. Based on the SML we also develop the SML-Toolkit, a command line program which gives access to some of the functionalities of the library, e.g. to compute measure scores.

SML Library: The Java Library - documentation of the SML (e.g. source code examples) and guidelines related to the use of the library in applications.

SML-Toolkit: The Program - a user-friendly way (for non-programmer) to benefit of SML functionalities.

The SML and the toolkit can be used to compute semantic similarity and semantic relatedness between entities semantically characterised (concepts, instances), e.g. concepts defined in a taxonomy or entities defined in a semantic graph such as documents, genes or products annotated by concepts defined in an ontology. For more information on semantic measures you can read this brief introduction.

You can also consult the more technical introductory survey we wrote, as well as the list of semantic measures proposed by the Semantic Measures Library.

Since the library is generic, it can be used with numerous ontologies and knowledge organisation systems: RDF(S) graphs, OWL ontologies, WordNet, MesH, Gene Ontology (OBO ontologies), SNOMED-CT...

Main goals of the project

To provide software solutions giving access both developers and practitioners to state-of-the-art approaches/methods for the computation of semantic measures.

To facilitate the comparison of semantic measures providing both tools and gold standard benchmarks for their evaluations.

To facilitate selection of semantic measures according to a specific usage context.

To summarize theoretical findings related to semantic measures. The bibliography associated to the project is publicly available.

References

The SML or the toolkit:

A book on semantic measures (254 pages):

A theoretical studies of knowledge-based semantic similarity measures:

About us

The main publications of the project:

The project was initiated by Sébastien Harispe (PhD - project leader) from the LGI2P laboratory, Ecole des mines d'Alès. more

