Latin WordNet, una rete di conoscenza semantica per il latino

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Campo DC	Valore
dc.identifier	ECF_chapter_1470
dc.contributor.author	Minozzi Stefano
dc.title	Latin WordNet, una rete di conoscenza semantica per il latino e alcune ipotesi di utilizzo nel campo dell’information retrieval
dc.type	Capitolo
dc.language.iso	it
dc.description.abstract	This paper describes the creation of Latin WordNet, addressing the methods of construction, the data structure, possible applications and further developments. More notably, a possible expansion of Latin WordNet is the construction of an additional data structure in order to improve the chances of the network to represent the semantic shift taking diachrony into account. The original Princeton WordNet, on whose ground Latin WordNet is developed, does not take into account the semantic shift of words in time, considering the meanings identified by synsets as if existing in a model of vocabulary where a language has not an history: the purpose of Princeton WordNet was obviously the representation of in-use contemporary English, but this model is weak when we come to describe the semantic structures of a finished language such as Latin. In the second part, this paper shows the connections between semantic networks and information retrieval moving from the problems pertaining to the automatic disambiguation of contexts and the exploitation of ontologies in the process of sense retrieval on semantically annotated corpora.
dc.relation.ispartof	Antichistica
dc.relation.ispartof	Filologia e letteratura
dc.publisher	Edizioni Ca’ Foscari - Digital Publishing
dc.issued	2017-11-29
dc.dateSubmitted	2017-08-14
dc.identifier.uri	http://edizionicafoscari.it/it/edizioni4/libri/978-88-6969-183-6/latin-wordnet-una-rete-di-conoscenza-semantica-per/
dc.identifier.doi	10.14277/6969-182-9/ANT-14-10
dc.identifier.issn	2610-8828
dc.identifier.eissn	2610-9344
dc.identifier.isbn	978-88-6969-183-6
dc.identifier.eisbn	978-88-6969-182-9
dc.rights	Creative Commons Attribution 4.0 International Public License
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
item.fulltext	with fulltext
item.grantfulltext	open
dc.peer-review	no
dc.subject	Dictionaries
dc.subject	Dictionaries
dc.subject	Information retrieval
dc.subject	Information retrieval
dc.subject	Lexicography
dc.subject	Lexicography
dc.subject	Ontologies
dc.subject	Ontologies
dc.subject	Semantic network
dc.subject	Semantic network
dc.subject	WordNet
dc.subject	WordNet

Capitolo
open access

Latin WordNet, una rete di conoscenza semantica per il latino e alcune ipotesi di utilizzo nel campo dell’information retrieval

Stefano Minozzi Università degli Studi di Verona, Italia

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abstract

This paper describes the creation of Latin WordNet, addressing the methods of construction, the data structure, possible applications and further developments. More notably, a possible expansion of Latin WordNet is the construction of an additional data structure in order to improve the chances of the network to represent the semantic shift taking diachrony into account. The original Princeton WordNet, on whose ground Latin WordNet is developed, does not take into account the semantic shift of words in time, considering the meanings identified by synsets as if existing in a model of vocabulary where a language has not an history: the purpose of Princeton WordNet was obviously the representation of in-use contemporary English, but this model is weak when we come to describe the semantic structures of a finished language such as Latin. In the second part, this paper shows the connections between semantic networks and information retrieval moving from the problems pertaining to the automatic disambiguation of contexts and the exploitation of ontologies in the process of sense retrieval on semantically annotated corpora.

Pubblicato

29 Novembre 2017

Presentato

14 Agosto 2017

Lingua

ISBN (PRINT)

978-88-6969-183-6

ISBN (EBOOK)

978-88-6969-182-9

Keywords: WordNet • Ontologies • Lexicography • Semantic network • Dictionaries • Information retrieval

permalink: http://doi.org/10.14277/6969-182-9/ANT-14-10

Copyright: © 2017 Stefano Minozzi. This is an open-access work distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction is permitted, provided that the original author(s) and the copyright owner(s) are credited and that the original publication is cited, in accordance with accepted academic practice. The license allows for commercial use. No use, distribution or reproduction is permitted which does not comply with these terms.

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