CRS4

Enriching wordnet to index and retrieve semantic information

Manuela Angioni, Roberto Demontis, Franco Tuveri
Proceedings Of The 2nd International Conference On Metadata And Semantics Research, Volume - - 2007
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

@InProceedings{ADT07c,
  author       = {Angioni, M. and Demontis, R. and Tuveri, F.},
  title        = {Enriching wordnet to index and retrieve semantic information},
  booktitle    = {Proceedings Of The 2nd International Conference On Metadata And Semantics Research},
  volume       = {-},
  year         = {2007},
  editor       = {-},
  organization = {MTSR Organizing Committee},
  note         = {idxproject: NDA, DART},
  url          = {http://publications.crs4.it/pubdocs/2007/ADT07c},
}

Autres publications dans la base

» Manuela Angioni
» Roberto Demontis
» Franco Tuveri