CRS4

Enriching wordnet to index and retrieve semantic information.

Manuela Angioni, Roberto Demontis, Franco Tuveri
Rapport de recherche 09/14, CRS4, Center for Advanced Studies, Research and Development in Sardinia, Number 09/14 - january 2009
The work illustrated in this paper is part of the DART search engine. Its main goal is to index and retrieve information both in a generic and in a specific context where documents can be mapped or not on ontologies, vocabularies and thesauri. To achieve this goal, a semantic analysis process on structured and unstructured parts of documents is performed. The unstructured parts need a linguistic analysis and a semantic interpretation performed by means of Natural Language Processing (NLP) techniques, while the structured parts need a specific parser. Semantic keys are extracted from documents starting from the semantic net of WordNet and enriching it of new nodes, links and attributes.

Références BibTex

@TechReport{ADT09a,
  author       = {Angioni, M. and Demontis, R. and Tuveri, F.},
  title        = {Enriching wordnet to index and retrieve semantic information.},
  institution  = {CRS4, Center for Advanced Studies, Research and Development in Sardinia},
  number       = {09/14},
  month        = {january},
  year         = {2009},
  address      = {Cagliari, Italy},
  type         = {techreport},
  keywords     = {Search, Ontologies, NLP},
  url          = {http://publications.crs4.it/pubdocs/2009/ADT09a},
}

Autres publications dans la base

» Manuela Angioni
» Roberto Demontis
» Franco Tuveri