A Semantic-based Search Engine for Professional Knowledge
Thursday, 6th September 2007Authors: Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Azzurra Ragone, Michelantonio Trizio
Abstract: The search for professional knowledge is affected by an endemic ambiguity
in the definition of required and provided competences. Ontologies represent a mean for
disambiguation, by providing a shared vocabulary for job market knowledge domain. In
this paper we propose an ontology based search engine for curricula, which exploits the
semantic annotation of available curricula to rank them with respect to a knowledge
request and implements novel technologies for dynamic and interactive web applications
development.
Key Words: Skill management, Semantic Search, Knowledge Representation
Category: I.2.4, K.6.1


