About CRIM

Knowledge engineering, ontology and thesaurus

Semantic Web (or Web of data) groups billions of information triples (subject-predicate-object expressions). These triples allow for encoding knowledge according to a standard format (RDF) that is widely supported by the computer science community. Although this encoded information contains a wealth of information, it nevertheless is associated with noise. Several research efforts are aimed at analyzing and distilling this information to make it amenable for use in various softwares.

Ontologies serve to model knowledge as a set of concepts within a domain. The underlying methods of representation also allow for analyzing these knowledges. Various tools are used for developing and visualizing these ontologies. In this respect, a particularly important device is the semi-automatic construction of ontologies, and this leads us to the area of natural language processing described below. 

Teams

Publications

Upcoming event

  • Gala des Prix Innovation 2020 de l'ADRIQ
    19 November 2020 0:00
    Palais des Congrès de Montréal
    Le Gala Prix Innovation 2020 de l'ADRIQ aura lieu le 19 novembre 2020, au Palais des congrès de Montréal.
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  • AIxSPACE RT @AIxSPACE_ca: Registrations are open for AIxSPACE! We're looking forward to meeting you all at the 1st event dedicated to #AI applied to…
  • Vous souhaitez rencontrer des grandes compagnies, chercheurs et startups afin d'avoir une discussion de fond sur la… https://t.co/g6adtJ519H

Recent Publications

  • On The Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification

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  • An ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers

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