@inproceedings{mambrini-2026-latin,
title = "{L}atin Represented Speech ({L}a{R}e{S}): Linking {L}i{L}a and the {DICES} Database",
author = "Mambrini, Francesco",
editor = "McCrae, John P. and
Gkirtzou, Katerina and
Khan, Fahad and
Martin Chozas, Patricia and
Carvalho, Sara and
Canning, Erin",
booktitle = "Proceedings of 10th Workshop on Linked Data in Linguistics ({LDL}-2026)",
month = may,
year = "2026",
address = "Palma, Mallorca (Spain)",
publisher = "ELRA Language Resources Association (ELRA)",
url = "https://aclanthology.org/2026.ldl-1.6/",
doi = "10.63317/4md3uuk73kra",
pages = "50--59",
abstract = "This paper presents LaReS (Latin Represented Speech), a Linked Open Data resource designed to model represented speech in Latin literature and to align the DICES database of direct speeches in Greek and Latin epic with the LiLa Knowledge Base. While DICES provides a rich collection of metadata on direct speech in epic poetry, its operational approach and its relatively shallow conceptual modeling limit its interoperability and extensibility. The modeling strategy implemented in LaReS is based on the separation of the textual level from the narratological dimension. CIDOC CRM and DOLCE+DnS are used to conceptualize the basic notions in the two modules. LaReS now includes 341 speeches in Virgil{'}s Aeneid, linking 36,782 tokens in LiLa to speech units derived from DICES"
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<abstract>This paper presents LaReS (Latin Represented Speech), a Linked Open Data resource designed to model represented speech in Latin literature and to align the DICES database of direct speeches in Greek and Latin epic with the LiLa Knowledge Base. While DICES provides a rich collection of metadata on direct speech in epic poetry, its operational approach and its relatively shallow conceptual modeling limit its interoperability and extensibility. The modeling strategy implemented in LaReS is based on the separation of the textual level from the narratological dimension. CIDOC CRM and DOLCE+DnS are used to conceptualize the basic notions in the two modules. LaReS now includes 341 speeches in Virgil’s Aeneid, linking 36,782 tokens in LiLa to speech units derived from DICES</abstract>
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%0 Conference Proceedings
%T Latin Represented Speech (LaReS): Linking LiLa and the DICES Database
%A Mambrini, Francesco
%Y McCrae, John P.
%Y Gkirtzou, Katerina
%Y Khan, Fahad
%Y Martin Chozas, Patricia
%Y Carvalho, Sara
%Y Canning, Erin
%S Proceedings of 10th Workshop on Linked Data in Linguistics (LDL-2026)
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F mambrini-2026-latin
%X This paper presents LaReS (Latin Represented Speech), a Linked Open Data resource designed to model represented speech in Latin literature and to align the DICES database of direct speeches in Greek and Latin epic with the LiLa Knowledge Base. While DICES provides a rich collection of metadata on direct speech in epic poetry, its operational approach and its relatively shallow conceptual modeling limit its interoperability and extensibility. The modeling strategy implemented in LaReS is based on the separation of the textual level from the narratological dimension. CIDOC CRM and DOLCE+DnS are used to conceptualize the basic notions in the two modules. LaReS now includes 341 speeches in Virgil’s Aeneid, linking 36,782 tokens in LiLa to speech units derived from DICES
%R 10.63317/4md3uuk73kra
%U https://aclanthology.org/2026.ldl-1.6/
%U https://doi.org/10.63317/4md3uuk73kra
%P 50-59
Markdown (Informal)
[Latin Represented Speech (LaReS): Linking LiLa and the DICES Database](https://aclanthology.org/2026.ldl-1.6/) (Mambrini, LDL 2026)
ACL