Exploring BreXit Data Using

Cross-lingual and Cross-media Semantic Search

Explore a semantically enriched dataset about Brexit from:


244,450 items
9,106,803 semantic annotations 165,584 entities

Social Media

11,966,297 items
33,790,136 semantic annotations 204,850 entities

Online TV

882 items
75,366 semantic annotations 14,390 entities

Our solutions:

Query Interpretation

Understand the meaning of the entities identified in the keyword queries in various languages and the underlying semantic relations between different entities.

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Content Retrieval

Retrieve semantic Brexit data in multiple languages from various media sources (including news, social media and online TV) by means of entities.

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Content Analytics

Analyze Brexit data by SPARQL queries against the knowledge extracted from various media sources in combination with additional background knowledge.

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