CIDER-CL is a system to perform monolingual and cross-lingual ontology alignment. To that end, several semantic measures are used, such as SoftTFIDF and Cross-Lingual Explicit Semantic Analysis. Artificial neural networks are used to combine elementary similarity computations. CIDER-CL can operate in two modes:

• Ontology aligner: taking two OWL ontologies as input and giving their equivalences as output in RDF.
• Similarity service: taking two ontology entities as input and giving the similarity value between them as output.

See https://oeg.fi.upm.es/files/cider-cl for more information.