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 speech instances in the Aeneid, linking 36,782 tokens in LiLa to speech units derived from DICES.
Mambrini, F., Latin Represented Speech (LaReS): Linking LiLa and the DICES database, in Proceedings of the 10th Workshop on Linked Data in Linguistics (LDL-2026) @ LREC 2026, (Palma de Mallorca, 12-12 May 2026), ELRA, Palma de Mallorca 2026: 50-59 [https://hdl.handle.net/10807/336017]
Latin Represented Speech (LaReS): Linking LiLa and the DICES database
Mambrini, Francesco
Primo
2026
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 speech instances in the Aeneid, linking 36,782 tokens in LiLa to speech units derived from DICES.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



