AUTOMATIC KNOWLEDGE EXTRACTION AND MATCHING: APPLICATION TO MANAGEMENT ENGINEERING DIAGNOSIS
Author(s):
Lamia Hadrich Belguith,
Jamel Kolsi,
Abdelmajid Ben Hamadou
Paper abstract: This paper proposes an approach for automatic knowledge extraction and matching that we apply to an
aid system of management engineering diagnosis called SADIM (Système d’Aide au Diagnostic
d’Ingénierie de Management). SADIM aims to detect the dysfunctions related to the enterprise
management. It allows the knowledge acquisition from textual data related to the diagnosis, the matching
and the assignment of witness sentences to the corresponding key ideas. SADIM can also serve as a
decision aid system which helps experts and socio-economic management consultants to take decisions
that would make enterprises reach the required standards through council interventions.
Keywords:
Natural Language Processing (NLP), decision aid system, automatic terminology extraction,
knowledge acquisition, socio-economic diagnosis.
