This article summarises my progess in GSoC over week seven of the GSoC coding period.

How to use the embeddings generated for querying the DBpedia Knowledge Graph

Using the embeddings

Figure 1. Once we have the image-based KG, we aim to use it for image query search in DBpedia. As seen in the figure, here we have a query image given by the user. It is first converted to an embedding using ResNet-50. Then a similarity score between the nodes of KG and the embedding is generated. Using the similarity score, a ranked list of images (and the corresponding articles) is created.

The code related to the above figure is present here: Github.