RTVE-Grafo is a Semantic Interoperability project.

RTVE Play's technical platform integrates with multiple systems, both internal and external, including historical content from the Archivo RTVE, as well as the latest RTVE productions and broadcasts from in-house production or acquisitions.

The integration and consolidation of information from audiovisual production, both video and audio, is a complex process that requires the contribution of third parties, the consolidation of multiple data sources and, finally, the enrichment with metadata to provide the content with complete information.

In order to improve the exchange and enrichment of information and the interoperability of data, RTVE as a member of the European Broadcasting Union, known by its acronym in English EBU/UER (EBU) participates in metadata standardization processes and in specific groups, such as, for instance, the group EBU-AIM which manages and promotes the use of standard metadata systems. Within the work of this group, RTVE adopts the EBUCorePlus ontology as a pivot ontology for the construction of a knowledge graph through the RTVE Grafo project. EBUCorePlus is an ontology developed by the EBU for the representation of information from companies and media organizations, developed as a strictly semantic open source project, whose mission is to improve interoperability between systems.

Semantic interoperability is defined as the ability of computer systems to exchange data while maintaining a clear and unambiguous meaning. For the understanding between systems, it is essential that not only data are shared between different systems or applications, but also that they are interpretable symbolically while maintaining the meaning. In this context, RTVE launches the initiative RTVE Grafo as

a semantic interoperability project for the exchange of information between heterogeneous systems, to guarantee the semantic interpretation capacity of the data published by RTVE.

This will simplify the exchange of information between RTVE systems and with third parties and will result in a more effective, simple and semantically aware integration and cooperation between them.

RTVE Grafo is not only a semantic project for machines; it is also a project on which services are created for people, with the aim of improving their experience when they relate to RTVE's contents and information and entertainment offer.

RTVE Grafo makes it possible to generate simpler, more accurate, useful and intuitive models of interaction, interrogation and conversation between people and machines, exploiting the capabilities of inference and knowledge discovery, which facilitates the findability of the content.

In short, RTVE Grafo makes it possible to create utilities for people through advanced semantic technologies.