Reference number : GC-2017-Q4-01584, amendment number : , agreement type : G, recipient legal name : Sadat, Fatiha (Université du Québec à Montréal), recipient country : CA, recipient province : nan, recipient city : Quebec|Québec, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : In recent years, big data of several domains has risen significantly to prominence in the world. Moreover, with_x000D_
the increasing popularity of big data and machine learning algorithms, we are in the era of domain-based_x000D_
information explosion. Therefore, it is important and necessary to develop adequate NLP and machine learning_x000D_
tools for the domain-specific big data. It is also important to model, classify this data and reuse the developed_x000D_
resources, for better information analytics and visualization. By building computational tools and linguistic_x000D_
resources such as a domain-specific ontology, the National Bank of Canada will be able to involve this_x000D_
resource in the existing Big Data Analytics pipeline, combine and reuse it in the design of a conversational_x000D_
agent and information retrieval, and thus provide more complete and intelligent product for their community._x000D_
The current research project aims at creating a domain-based ontology using permanent banking instructions._x000D_
Starting from domain-specific data, this collaborative project targets the pre-processing of a large_x000D_
domain-based corpus using adequate tools and techniques that will consider the financial domain and the_x000D_
language (French, in this case), the extraction of domain-specific concepts and semantics relationships_x000D_
between these concepts from the domain-specific corpus._x000D_
The domain-specific ontology will be a valuable resource in the AI and big data analytics pipeline of the_x000D_
National Bank of Canada., program purpose french : In recent years, big data of several domains has risen significantly to prominence in the world. Moreover, with_x000D_
the increasing popularity of big data and machine learning algorithms, we are in the era of domain-based_x000D_
information explosion. Therefore, it is important and necessary to develop adequate NLP and machine learning_x000D_
tools for the domain-specific big data. It is also important to model, classify this data and reuse the developed_x000D_
resources, for better information analytics and visualization. By building computational tools and linguistic_x000D_
resources such as a domain-specific ontology, the National Bank of Canada will be able to involve this_x000D_
resource in the existing Big Data Analytics pipeline, combine and reuse it in the design of a conversational_x000D_
agent and information retrieval, and thus provide more complete and intelligent product for their community._x000D_
The current research project aims at creating a domain-based ontology using permanent banking instructions._x000D_
Starting from domain-specific data, this collaborative project targets the pre-processing of a large_x000D_
domain-based corpus using adequate tools and techniques that will consider the financial domain and the_x000D_
language (French, in this case), the extraction of domain-specific concepts and semantics relationships_x000D_
between these concepts from the domain-specific corpus._x000D_
The domain-specific ontology will be a valuable resource in the AI and big data analytics pipeline of the_x000D_
National Bank of Canada., agreement title english : Developing a Domain-based Ontology using Permanent Banking Instructions, agreement title french : Developing a Domain-based Ontology using Permanent Banking Instructions, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-03-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada