Answering Visuo-Semantic Queries with IMGpedia

Abstract

IMGpedia is a linked dataset that provides a public SPARQL endpoint where users can answer queries that combine the visual similarity of images from Wikimedia Commons and semantic information from existing knowledge-bases. Our demo will show example queries that capture the potential of the current data stored in IMGpedia. We also plan to discuss potential use-cases for the dataset and ways in which we can improve the quality of the information it captures and the expressiveness of its queries.

Publication
In 16th International Semantic Web Conference Poster and Demo
Sebastián Ferrada
Sebastián Ferrada
Postdoctoral Researcher

Research. Coffee. Lifting.