• Cold-start cybersecurity ontology population using information extraction with LSTM 

      Gasmi H.; Laval J.; Bouras A. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      In this paper, we discuss how Long Short Time Memory (LSTM) neural networks can be applied to cyber security knowledge base population. Assuming we have an empty ontology that models the field of vulnerabilities description ...
    • Framework of Experiential Learning to Enhance Student Skill 

      Ghemri F.; Bouras A.; Gasmi H. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      In this research work we propose a framework of experiential learning to enhance student work skills and experience. This research main to contribute to the development and expansion of local industry, through the conduct ...
    • Information extraction of cybersecurity concepts: An LSTM approach 

      Gasmi H.; Laval J.; Bouras A. ( MDPI AG , 2019 , Article)
      Extracting cybersecurity entities and the relationships between them from online textual resources such as articles, bulletins, and blogs and converting these resources into more structured and formal representations has ...
    • Ontology Based Education/Industry Collaboration Modeling: Opportunities and Challenges 

      Gasmi H.; Bouras A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      One of the main suppliers of the workforce for the engineering industry and the economy in general is the higher education sector. The higher education sector is consistently being challenged by the fast evolving industry ...