“Semantic
Technologies” aim at eliciting knowledge from heterogeneous resources (lexic, multimedia,
etc.) by means of suitable algorithms and statistical analysis. In this context, we present
TMEO, a semi-automatic interactive Q/A system for enabling population of semantic
resources on the basis of ontological distinctions. The core function of TMEO (Tutoring
Methodology for the Enrichment of Ontologies) is to support users in selecting the most
adequate categorization of a term in a generic linguistic resource according to reference
ontology. Different sequences of answers induce different mappings between the lexicon
and the ontological layer, improving disambiguation process and enabling machineunderstandability
of knowledge contents.
CLIL theme: 3147 -- SCIENCES HUMAINES ET SOCIALES, LETTRES -- Lettres et Sciences du langage -- Linguistique, Sciences du langage