LiLa: Linking Latin. Risorse linguistiche per il latino nel Semantic Web

Francesco Mambrini; Flavio Massimiliano Cecchini; Greta Franzini; Eleonora Maria Gabriella Litta Modignani Picozzi; Marco Carlo Passarotti; Paolo Ruffolo

LiLa: Linking Latin. Risorse linguistiche per il latino nel Semantic Web

Francesco Mambrini, Flavio Massimiliano Cecchini, Greta Franzini, Eleonora Maria Gabriella Litta Modignani Picozzi, Marco Carlo Passarotti, Paolo Ruffolo

Risultato della ricerca: Contributo in rivista › Articolo in rivista › peer review

Abstract

The LiLa: Linking Latin project aims to build a Knowledge Base of language resources for the study of Latin (corpora, digital lexicons, natural-language-processing tools), based on the Linked Open Data paradigm. In this paper, we discuss the goals and motivation of the project. In particular, we focus on the role played by the lemma as a hub node that holds together the network of linguistic information. The architecture of LiLa is therefore based on lemmas and their morphological properties. The paper illustrates the strategies used to build a collection of Latin lemmas and the first experiments to link them to a set of textual resources (Latin treebanks).

Titolo tradotto del contributo	[Autom. eng. transl.] LiLa: Linking Latin. Linguistic resources for Latin on the Semantic Web
Lingua originale	Italian
pagine (da-a)	63-78
Numero di pagine	16
Rivista	Umanistica Digitale
Stato di pubblicazione	Pubblicato - 2020

Keywords

Latin
Linked Data

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title = "LiLa: Linking Latin. Risorse linguistiche per il latino nel Semantic Web",

abstract = "The LiLa: Linking Latin project aims to build a Knowledge Base of language resources for the study of Latin (corpora, digital lexicons, natural-language-processing tools), based on the Linked Open Data paradigm. In this paper, we discuss the goals and motivation of the project. In particular, we focus on the role played by the lemma as a hub node that holds together the network of linguistic information. The architecture of LiLa is therefore based on lemmas and their morphological properties. The paper illustrates the strategies used to build a collection of Latin lemmas and the first experiments to link them to a set of textual resources (Latin treebanks).",

keywords = "Latin, Linked Data, Latin, Linked Data",

author = "Francesco Mambrini and Cecchini, {Flavio Massimiliano} and Greta Franzini and {Litta Modignani Picozzi}, {Eleonora Maria Gabriella} and Passarotti, {Marco Carlo} and Paolo Ruffolo",

year = "2020",

language = "Italian",

pages = "63--78",

journal = "Umanistica Digitale",

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TY - JOUR

T1 - LiLa: Linking Latin. Risorse linguistiche per il latino nel Semantic Web

AU - Mambrini, Francesco

AU - Cecchini, Flavio Massimiliano

AU - Franzini, Greta

AU - Litta Modignani Picozzi, Eleonora Maria Gabriella

AU - Passarotti, Marco Carlo

AU - Ruffolo, Paolo

PY - 2020

Y1 - 2020

N2 - The LiLa: Linking Latin project aims to build a Knowledge Base of language resources for the study of Latin (corpora, digital lexicons, natural-language-processing tools), based on the Linked Open Data paradigm. In this paper, we discuss the goals and motivation of the project. In particular, we focus on the role played by the lemma as a hub node that holds together the network of linguistic information. The architecture of LiLa is therefore based on lemmas and their morphological properties. The paper illustrates the strategies used to build a collection of Latin lemmas and the first experiments to link them to a set of textual resources (Latin treebanks).

AB - The LiLa: Linking Latin project aims to build a Knowledge Base of language resources for the study of Latin (corpora, digital lexicons, natural-language-processing tools), based on the Linked Open Data paradigm. In this paper, we discuss the goals and motivation of the project. In particular, we focus on the role played by the lemma as a hub node that holds together the network of linguistic information. The architecture of LiLa is therefore based on lemmas and their morphological properties. The paper illustrates the strategies used to build a collection of Latin lemmas and the first experiments to link them to a set of textual resources (Latin treebanks).

KW - Latin

KW - Linked Data

KW - Latin

KW - Linked Data

UR - http://hdl.handle.net/10807/155456

UR - https://umanisticadigitale.unibo.it/article/view/9975

M3 - Articolo in rivista

SN - 2532-8816

SP - 63

EP - 78

JO - Umanistica Digitale

JF - Umanistica Digitale

ER -

LiLa: Linking Latin. Risorse linguistiche per il latino nel Semantic Web

Abstract

Keywords

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