2026-09-08T15:48:19Zhttps://iris.cnr.it/oai/request

oai:iris.cnr.it:20.500.14243/5943012026-08-08T01:25:15Zou_ou239

Exploring CompL-it: Quantitative and Graph-based Profiling of an Open Italian Lexical-Semantic Resource Emiliano Giovannetti Andrea Bellandi Mafalda Papini Simone Marchi Valerio Basile, Danilo Croce, Lucia Passaro, Roberto Pirrone Giovannetti, Emiliano Bellandi, Andrea Papini, Mafalda Marchi, Simone Computational lexicon, Italian NLP, Linguistic Linked Open Data, OntoLex-Lemon This paper presents an updated quantitative and graph-based profile of CompL-it, an open computational lexicon of contemporary Italian represented according to the Linguistic Linked Open Data paradigm and the OntoLex-Lemon model. Rather than focusing on the construction or enrichment of the resource, we examine its current structure as a lexical-semantic infrastructure. The analysis covers lexical entries, inflected forms, lexical senses, semantic relations, semantic types, semantic traits, definitions and examples, with particular attention to the sense-based semantic layer. We combine distributional statistics and coverage indicators with a preliminary graph-structural analysis based on relation classes, reciprocity, connectivity patterns and fragmentation under relation-class ablation. The paper also presents the main access modes to the resource, including data download, SPARQL querying and graphical browsing. By making the internal organisation of CompL-it explicit and measurable, the contribution provides a basis for future work on Italian NLP scenarios that require structured lexical-semantic knowledge. 2026 info:eu-repo/semantics/conferenceObject https://hdl.handle.net/20.500.14243/594301 eng ispartofbook:Proceedings of the Twelfth Italian Conference on Computational Linguistics (CLiC-it 2026) CLiC-it 2026 Italian Conference on Computational Linguistics ELETTRONICO CEUR Workshop Proceedings