Linking the Corpus CLaSSES to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin
Authors: Irene De Felice, Lucia Tamponi, Federica Iurescia, Marco Carlo Passarotti (Università di Genova, Università di Pisa, Università Cattolica del Sacro Cuore, 2023)
Topic: Latin Resources

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.

Introduction
The Latin language shows a large diversity, in the light of its wide usage in terms both of diachrony (spanning across two millennia) and diatopy (all over Europe and beyond). Such diversity is mirrored in the set of linguistic resources currently available for Latin, ranging from collections of literary texts of the Classical era, to corpora of documentary texts of the Medieval times, dictionaries, and glossaries. Like for many other languages, one limitation that affects the wealth of resources for Latin is their sparseness, which prevents the full exploitation of the data they provide. The LiLa Knowledge Base was built to overcome such limitation, making distributed resources for Latin interact through their publication as Linked Data, by using a set of commonly used vocabularies provided by ontologies for the representation of linguistic (meta)data. Among the resources interlinked in LiLa is the CLaSSES corpus, which enhances the set of lexical and textual data made interoperable by the Knowledge Base with a peculiar kind of non-literary Latin texts (such as inscriptions, writing tablets, and letters) written in different periods and provinces of the Roman Empire, thus contributing to extend the coverage of LiLa with a typology of texts not present so far in the Knowledge Base. This paper details the process of linking CLaSSES to LiLa, and is organized as follows. Section 2 presents the corpus CLaSSES. Section 3 describes the LiLa Knowledge Base. Section 4 discusses the modeling and the linking of CLaSSES into LiLa. Section 5 reports three examples of queries that exploit the interoperability of CLaSSES with other resources in LiLa. Finally, Section 6 provides some conclusions on the results of the linking, and outlines directions of future work.

Conclusion
The linking of CLaSSES into LiLa represents an added value for both the resources. As for CLaSSES, its (meta)data are now interoperable with the other resources interlinked in the Knowledge Base. As for LiLa, the non-literary texts of CLaSSES increased significantly its textual coverage, both in terms of size and in terms of register variation. In the near future, we plan to model and interlink in LiLa other types of metadata provided by CLaSSES, such as information about the provenance and the dating of the texts. We plan to start from metadata on the time span of the texts, that we will model as Linked Data using data categories and properties from the CIDOC Conceptual Reference Model.