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Enriching wordnet to index and retrieve semantic information.

Manuela Angioni, Roberto Demontis, Franco Tuveri
Metadata And Semantics, Post-proceedings Of The 2nd International Conference On Metadata And Semantics Research, MTSR 2007, Corfu Island In Greece,, Volume 2, page 339--351 - october 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{ADT07b,
  author       = {Angioni, M. and Demontis, R. and Tuveri, F.},
  title        = {Enriching wordnet to index and retrieve semantic information.},
  booktitle    = {Metadata And Semantics, Post-proceedings Of The 2nd International Conference On Metadata And Semantics Research, MTSR 2007, Corfu Island In Greece,},
  volume       = {2},
  pages        = {339--351},
  month        = {october},
  year         = {2007},
  editor       = {Miguel-Angel Sicilia and Miltiadis D. Lytras},
  publisher    = {Springer US},
  note         = {isbn: 978-0-387-77744-3 (Print) 978-0-387-77745-0 (Online)

idxproject: NDA, DART},
  keywords     = {Search, Ontologies, NLP},
  url          = {http://publications.crs4.it/pubdocs/2007/ADT07b},
}

Autres publications dans la base

» Manuela Angioni
» Roberto Demontis
» Franco Tuveri