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Sr. Information & Knowledge Management Specialist to support the discovery, creation, and dissemination of knowledge in the organization.

Ottawa, ON
  • Nombre de poste(s) à combler : 1

  • À discuter
  • Emploi Contrat

  • Date d'entrée en fonction : 1 poste à combler dès que possible

Our valued private sector client requires a Sr. Information & Knowledge Management Specialist to support the discovery, creation, and dissemination of knowledge in the organization.

Responsibilities:
  • Provide experience and expertise in Information Management and Decision Support in a R&D environment in the following S&T topics:
    • Knowledge Representation - Formalisms;
    • Data Management;
    • Information Management Services;
    • Data Quality;
    • Natural Language Processing;
    • Multimedia;
    • Document / Content management;
    • Collaboration;
    • Security / Privacy;
    • Web Information Services.
Must Have Skills:
  • Must have twelve years of experience as a Information & Knowledge Management Specialist with a relevant Master diploma, or 5+ years of experience with a relevant Ph.D or 10+ years of experience.
  • Experience Investigating mechanisms to facilitate information/knowledge sharing among users in order to develop shared situation awareness.
  • Experience Investigating different ways to search and retrieve information from large information sources (both structured and unstructured), with interactive capabilities;
  • Experience Investigating different ways to facilitate collaboration in the building of collective intelligence.
  • Experience Investigating different ways to organize and manage information and provide a contextual support.
  • Ability to exploit structures such as semantic networks, ontologies, and meta-data to establish links between domain models and information sources.
  • Develop research and implementation strategies for knowledge management, information management, document and records management and data management. This includes project management of knowledge initiatives and retrieval of critical archived information.
  • Investigating knowledge discovery techniques, including data and text mining, intelligent searches, document categorization and summarization.
  • Analyzing NLP systems and capabilities.
  • Required specialties may include but are not limited to:
    • Knowledge representation languages, e.g., OWL, RDF, SPARQL, etc.
    • Query languages (e.g., SPARQL);
    • Conceptual modeling software tools;
    • Data modeling software tools
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