Case Study: Rappler builds the first Philippine politics knowledge graph with Ontotext GraphDB

Rappler publishes 46,165 candidate profiles with Ontotext GraphDB

Rappler, a leading Philippine digital-native newsgroup, faced the challenge of providing deeper analysis of the 2022 National Elections despite a small team and sparse data. They needed to model the complex Philippine political system and generate thousands of data-driven pages for their audience. Rappler chose Ontotext and implemented their GraphDB solution to address this.

Using Ontotext GraphDB, Rappler built the first Philippine Politics Knowledge Graph. This solution enabled them to create rich profiles for over 46,000 candidates, track government performance, and uncover hidden relationships in disinformation campaigns. The results included providing more complex information to their audience and establishing a foundation for working with both historical and future election data.

Rappler