Marco Antonio Stranisci presents a new Computational Ontology of Migrant Writers.
Title: The Ontology of Migrant Writers
Narratives have become a pervasive, and multifaceted presence in social media. Within these communicative contexts, journalists and other influential people use them to frame specific and often conflicting points of view on the world. Correspondingly, users are an active part of this creative process because they interact and redefine narratives through their sentiment on specific topics.
However, social media are often affected by stereotypical narratives that increase the level of aggressiveness and verbal violence online, often at the expense of people vulnerable to discrimination. Many of these narratives are mainstream and strongly related to the spreading of Hate Speech (HS). Unfortunately, similar stereotypes are also present in positive narratives, which in several cases depict people vulnerable to HS exclusively as victims. Instead, stories directly created by minorities have poor visibility in the public debate even if the social web hosts a lot of them.
In order to reduce this underrepresentation, a computational ontology of migrant writers has been developed. This resource is aimed at representing people who created literary works and are or have been migrant during their life. It will be used to collect, organize, and make publicly available knowledge about migrant writers, and their narratives. The ontology design focused on two research questions:
- how to model the concept of migrant;
- how to represent biographical events in their temporal succession.
In the presentation, he will first introduce the backbone ontology of migrant writers, highlighting the most challenging aspects he faced during its development. Then, he will show a series of data collection strategies he implemented to gather contents from Wikidata, DBpedia, and Wikipedia.