This paper presents the integration of the Leibniz List, a concept list from the Concepticon project, into the LiLa Knowledge Base of Latin interoperable resources. The modeling experiment was conducted using W3C standards like Ontolex and SKOS. This work, which originated in a project for a university course, is limited to a short list of words, but it already enables interoperability between the Concepticon and the language resources in a LOD architecture like LiLa. The integration enriches the LiLa ecosystem, allowing users to explore Latin lexicon from an onomasiological perspective and links concepts to lexical entries from various dictionaries and corpus attestations. The work showcases how standard Semantic Web technologies can effectively model and connect historical concept lists within larger linguistic knowledge infrastructures and pro-vides an example for further experiments with the Concepticon’s data.
Albertelli, L. S., Calvi, G., Mambrini, F., The Leibniz List as Linguistic Linked Data in the LiLa Knowledge Base, in Proceedings Of The 5Th Conference On Language, Data And Knowledge, (Napoli, Italia, 09-11 September 2025), UniorPress — University of Naples “L’Orientale”, Napoli 2025: 13-18. [10.6093/978-88-6719-333-2] [https://hdl.handle.net/10807/322527]
The Leibniz List as Linguistic Linked Data in the LiLa Knowledge Base
Mambrini, Francesco
Secondo
2025
Abstract
This paper presents the integration of the Leibniz List, a concept list from the Concepticon project, into the LiLa Knowledge Base of Latin interoperable resources. The modeling experiment was conducted using W3C standards like Ontolex and SKOS. This work, which originated in a project for a university course, is limited to a short list of words, but it already enables interoperability between the Concepticon and the language resources in a LOD architecture like LiLa. The integration enriches the LiLa ecosystem, allowing users to explore Latin lexicon from an onomasiological perspective and links concepts to lexical entries from various dictionaries and corpus attestations. The work showcases how standard Semantic Web technologies can effectively model and connect historical concept lists within larger linguistic knowledge infrastructures and pro-vides an example for further experiments with the Concepticon’s data.| File | Dimensione | Formato | |
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