A Semantic-based Search Engine for Professional Knowledge

نویسندگان

  • Simona Colucci
  • Tommaso Di Noia
  • Eugenio Di Sciascio
  • Francesco M. Donini
  • Azzurra Ragone
  • Michelantonio Trizio
چکیده

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.

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تاریخ انتشار 2007