It is a Linguistic Linked Open Data (LLOD) project as well as my master thesis project.

Traditionally, morphology is defined as the discipline that studies the internal structure of words: its existence therefore presupposes the existence of words. The two main categories are: inflectional morphology and derivational morphology. Our studies focus on derivational morphology which concerns the formation of new lexemes on the basis of existing morph.

LLOD Cloud is a community project initiated by the Open Knowledge Foundation's Open Linguistics Working Group (OWLG) to bridge the gap between developments in language technology and linguistics and progress in the Semantic Web and artificial intelligence. Its core objective is to promote and track the application of open data in linguistics and facilitate the sharing of existing language resources.

Generally speaking, our study is based on these two backgrouds.

LiITA: LiITA: Linking Italian is a knowledge base of linguistic resources for Italian. https://www.liita.it/

However, in LiITA, it lacks the derivational morphology information (The affixes, the word formation process etc.) Meanwhile, the study of Talamo et al. DerIvaTario : An annotated lexicon of Italian derivatives offers the detailed annotations for Italian derivatives which could enrich the morphological information in LiITA. But the annotated lexicon is in format of CSV which is not the suitable for LOD.

We first obtain the LiITA URIs for each base and derivatives represented in our model as Ontolex-lemon lexical entries which link those URIs via ontolex:canonicalForm or ontolex-lexicalForm.

We use the Ontolex-lemon model and its modules (Morph)

The data is in turtle format ready to be integrated in liIta in the future and be requested through Sparql.