Enriching wordnet to index and retrieve semantic information.
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 = {https://publications.crs4.it/pubdocs/2007/ADT07b},
}