Δημοσιογραφία δεδομένων και σημασιολογικοί γράφοι γνώσης: Εφαρμογές και καινοτομίες στην επικοινωνία

Περίληψη

The fifth industrial revolution is characterized by the rise of innovative technologies and the ongoing collaboration between humans and machines. In this context, journalism increasingly integrates Artificial Intelligence (AI) technologies and Semantic Web (SW) services to enhance the efficiency of news production. Accordingly, Semantic Knowledge Graphs have become key assets, enabling access to diverse data sources used in investigative reporting, yet their relationship with other journalistic forms, such as data journalism, has not been adequately examined. This paper aims to examine the relationship between data journalism and semantic knowledge graphs, focusing on their applications in news production and highlighting emerging opportunities for innovation in communication. The methodology is based on the analysis of two semantic knowledge graphs (case studies) used by media organizations that specialize in data journalism. The findings reveal that both case studies are applied in news production to access, organize, and analyze diverse data sources, uncovering hidden patterns and connections within complex information. They also highlight how both knowledge graphs leverage artificial intelligence to drive innovation in communication, enhancing the organization and presentation of complex data through automated categorization and visualization. Lastly, the discussion provides research directions based on the study’s analysis and findings.