Advanced search engine

We offer both:  

1- The expertise for customized search engine integration according to various search criteria and platforms, that address the following issues of:

  • interoperability
  • scalability for large volumes of data and expanded systems
  • indexing data streams arising from documents, social media networks, audio or video sources

2- The expertise for extending search engine capabilities through semantic exploration

Computer-assisted information searching has become commonplace, as anyone with search engine availability can easily access documents in response to user-supplied subjects of interest. Nevertheless, polysemy (a word capable of having multiple meanings, such as “draft” in the sense of “preliminary form of writing” or “draft” in the sense of “gust of wind”) still represents a major problem to information searching, since it often leads to irrelevant results.

Information searching can also be performed in a question-answer manner, where the user is interested in a precise answer (e.g.: In what year did Mozart die?), in contrast to a list of documents on the subject (as in a Wikipedia page on Mozart). This avenue encompasses a vast area of research that includes natural language processing (***see other section) and possibly, in addition, the use of semantic Web (***see other section) for encoding the information in a more structured fashion.

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Recent news

  • CRIM and cloud.ca propel VESTA into the cloud
    21/03/2017

    CRIM is pleased to announce the renewal of its partnership with cloud.ca, Canada’s cloud Infrastructure as a Service (IaaS) developed by CloudOps. This partnership allows CRIM to make the demo version of VESTA available to the public.

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Upcoming event

  • Datavore 2017
    28 March 2017 7:45
    Palais des Congrès de Montréal
    Le CRIM est heureux d'être partenaire et de participer à Datavore 2017, l'événement référence en analytique qui se déroulera du 27 au 28 mars 2017 au Palais des Congrès de Montréal.
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Recent Publications

  • PeopleBot

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  • Détection de menaces par classification de paquets de pare-feu

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