International audienceThe 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 computations and analyses of semantic similarities between terms/concepts defined in terminologies and ontologies. The comparison of entities (e.g. genes) annotated by concepts is also supported. A large collection of measures is available. Not limited to a specific application context, the library and the toolkit can be used with various controlled vocabularies and ontology specifications (e.g. OBO, RDF). The project targets both designers and practitioners of semantic measures providing a JAVA library, as well as a command-line tool which can be used on p...
Automatic methods of ontology alignment are essential for establishing interoperability across web s...
AbstractOur objective is to develop a framework for creating reference standards for functional test...
Semantic similarity is useful in different areas of Natural Language Processing (NLP), such as word-...
International audienceThe Semantic Measures Library and Toolkit are robust open source and easy to u...
International audienceThe Semantic Measures Library and Toolkit are robust open source and easy to u...
International audienceThe Semantic Measures Library and Toolkit are robust open source and easy to u...
International audienceThe Semantic Measures Library and Toolkit are robust open source and easy to u...
International audienceThe Semantic Measures Library and Toolkit are robust open source and easy to u...
AbstractOntologies are widely adopted in the biomedical domain to characterize various resources (e....
International audienceArtificial Intelligence federates numerous scientific fields in the aim of dev...
AbstractOntologies are widely adopted in the biomedical domain to characterize various resources (e....
Finding semantic similarity between short biomedical texts, such as article abstracts or experiment ...
Sanchez Graillet O. Improving Semantic Similarity for Pairs of Short Biomedical Texts with Concept D...
Sanchez Graillet O. Using Concept Definitions and Ontology Structure to Measure Semantic Similarity ...
Semantic relatedness is a measure that quantifies the strength of a semantic link between two concep...
Automatic methods of ontology alignment are essential for establishing interoperability across web s...
AbstractOur objective is to develop a framework for creating reference standards for functional test...
Semantic similarity is useful in different areas of Natural Language Processing (NLP), such as word-...
International audienceThe Semantic Measures Library and Toolkit are robust open source and easy to u...
International audienceThe Semantic Measures Library and Toolkit are robust open source and easy to u...
International audienceThe Semantic Measures Library and Toolkit are robust open source and easy to u...
International audienceThe Semantic Measures Library and Toolkit are robust open source and easy to u...
International audienceThe Semantic Measures Library and Toolkit are robust open source and easy to u...
AbstractOntologies are widely adopted in the biomedical domain to characterize various resources (e....
International audienceArtificial Intelligence federates numerous scientific fields in the aim of dev...
AbstractOntologies are widely adopted in the biomedical domain to characterize various resources (e....
Finding semantic similarity between short biomedical texts, such as article abstracts or experiment ...
Sanchez Graillet O. Improving Semantic Similarity for Pairs of Short Biomedical Texts with Concept D...
Sanchez Graillet O. Using Concept Definitions and Ontology Structure to Measure Semantic Similarity ...
Semantic relatedness is a measure that quantifies the strength of a semantic link between two concep...
Automatic methods of ontology alignment are essential for establishing interoperability across web s...
AbstractOur objective is to develop a framework for creating reference standards for functional test...
Semantic similarity is useful in different areas of Natural Language Processing (NLP), such as word-...