O-Dang! is designed to gather and organize Italian datasets into a structured KG, according to the principles shared within the Linguistic Linked Open Data community.
Jul 13, 2022 · In this paper we present O-Dang!: The Ontology of Dangerous Speech Messages, a systematic and interoperable Knowledge Graph (KG) for the collection of ...
The Ontology of Dangerous Speech Messages (O-Dang!) is a systematic and interoperable Knowledge Graph (KG) for the collection of linguistic annotated data.
Jul 13, 2022 · In this paper we present O-Dang!: The Ontology of Dangerous Speech Messages ... Dang! Ontology. The O-Dang! Ontology provides a general ...
Jul 13, 2022 · In this paper, we presented O-Dang!, a KG of Italian data sets annotated for Dangerous Speech-related phenomena. The KG includes 62, 193 tweets ...
In this paper we present O-Dang!: The Ontology of Dangerous Speech Messages, a systematic and interoperable Knowledge Graph (KG) for the collection of ...
O-Dang! The Ontology of Dangerous Speech Messages · M. Stranisci, Simona Frenda, +5 authors. C. Bosco · Published in SALLD 13 July 2022 · Computer Science, ...
O-Dang! is designed to gather and organize Italian datasets into a structured KG, according to the principles shared within the Linguistic Linked Open Data ...
O-Dang! The Ontology of Dangerous Speech Messages. On 27th February 2023 by Mark Walters. By Keyword. Search. By Author.
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