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DBpedia

DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web. It allows for a global and unified access to Knowledge Graphs.

GSoC Participation History

Technologies

Topics

Past Projects

Databus Python Client: Manifest-Driven Reproducible Workflow Orchestration

The DBpedia Databus Python Client currently supports downloading, deploying, and deleting datasets but lacks reproducibility, workflow orchestration,...

Agentic Question Answering over DBpedia - Malla Siddharth Reddy

Accessing the billions of facts stored in DBpedia's knowledge graph currently requires writing SPARQL queries, putting this incredible resource out...

Neural Extraction Framework: Enhancing Knowledge Graph Extraction via Neuro-Symbolic Integration

This project scales the DBpedia Neural Extraction Framework into a production-ready system by integrating a Neuro-Symbolic validation layer. Key...

Building the Amharic DBpedia Language Chapter with Large Language Models (LLMs)

The Amharic DBpedia chapter's past implementation was largely manual, relying on tedious template mapping that has proven impossible to scale given...

Hindi Relational Triple Extraction with Fine Tuned Indic Models and Human in the Loop Feedback

This project focuses on improving how relational triples are extracted from Hindi Wikipedia text for the DBpedia Hindi chapter. Currently, most...

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DBpedia | GSoC Org Profile & Stats - Learn about DBpedia's involvement in Google Summer of Code (GSoC), their technologies, detailed reports.

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