Linking the Corpus CLaSSES to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin

De Felice Irene; Tamponi Lucia; Federica Iurescia; Marco Carlo Passarotti

doi:NA

Linking the Corpus CLaSSES to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin

De Felice Irene
, Tamponi Lucia
, Federica Iurescia
, Marco Carlo Passarotti

University of Genoa
University of Pisa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we describe the process of linking the corpus CLaSSES (which collects non-literary Latin texts of different periods and places) to the LiLa Knowledge Base of linguistic resources for Latin made interoperable through their publication as Linked Data. The paper details the RDF modeling of the (meta)data provided by CLaSSES and presents three queries on data from different resources that interact in LiLa.

Original language	English
Title of host publication	Proceedings of CLiC-it 2023: 9th Italian Conference on Computational Linguistics, Nov 30 — Dec 02, 2023, Venice, Italy
Publisher	Accademia University Press
Pages	173-179
Number of pages	7
ISBN (Print)	9791255000846
DOIs	https://doi.org/NA
Publication status	Published - 2023

All Science Journal Classification (ASJC) codes

General Computer Science

Keywords

Latin
Linguistic Linked Data

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Cite this

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title = "Linking the Corpus CLaSSES to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin",

abstract = "In this paper, we describe the process of linking the corpus CLaSSES (which collects non-literary Latin texts of different periods and places) to the LiLa Knowledge Base of linguistic resources for Latin made interoperable through their publication as Linked Data. The paper details the RDF modeling of the (meta)data provided by CLaSSES and presents three queries on data from different resources that interact in LiLa.",

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language = "English",

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Linking the Corpus CLaSSES to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin. / Irene, De Felice; Lucia, Tamponi; Iurescia, Federica et al.
Proceedings of CLiC-it 2023: 9th Italian Conference on Computational Linguistics, Nov 30 — Dec 02, 2023, Venice, Italy. Accademia University Press, 2023. p. 173-179.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Linking the Corpus CLaSSES to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin

AU - Irene, De Felice

AU - Lucia, Tamponi

AU - Iurescia, Federica

AU - Passarotti, Marco Carlo

PY - 2023

Y1 - 2023

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AB - In this paper, we describe the process of linking the corpus CLaSSES (which collects non-literary Latin texts of different periods and places) to the LiLa Knowledge Base of linguistic resources for Latin made interoperable through their publication as Linked Data. The paper details the RDF modeling of the (meta)data provided by CLaSSES and presents three queries on data from different resources that interact in LiLa.

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KW - Linguistic Linked Data

KW - Latin

KW - Linguistic Linked Data

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U2 - NA

DO - NA

M3 - Conference contribution

SN - 9791255000846

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EP - 179

BT - Proceedings of CLiC-it 2023: 9th Italian Conference on Computational Linguistics, Nov 30 — Dec 02, 2023, Venice, Italy

PB - Accademia University Press

ER -

Linking the Corpus CLaSSES to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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