Contributors per cycle
Accepted projects each year, against the median organization that year
View as table
| DBpedia | Median organization | |
|---|---|---|
| 2016 | 8 | 4 |
| 2017 | 7 | 4 |
| 2018 | 3 | 3 |
| 2019 | 6 | 4 |
| 2020 | 7 | 4 |
| 2021 | 10 | 4 |
| 2022 | 4 | 3 |
| 2023 | 6 | 4 |
| 2024 | 5 | 4 |
| 2025 | 5 | 5 |
| 2026 | 5 | 4 |
In GSoC 2026Every cycle since 2016
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.
Contributors in 2026
5
Same as 2025
Projects since 2016
66
6 a cycle on average
Cycles
11 of 11
11-cycle streak
Rank in 2026
#60
of 183, 0.4% of slots
Mentors
16
for 5 projects in 2025
Stack and topics
Each one has its own page of organizations and trends
Technologies
# Topics
Quick answers
- Is DBpedia in GSoC 2026?
- Yes, with 5 contributors.
- How long has it taken part?
- 11 of 11 cycles since 2016, first in 2016, with a 11-cycle streak running.
- How many contributors does it usually take?
- 6 a cycle on average, 66 in total. Its largest cycle was 2021, with 10.
- What does it build with?
- Python, Java, Scala, RDF, NoSQL, Graph and 4 more.
Accepted projects
5 projects in 2026 · All 66 projects since 2016
Databus Python Client: Manifest-Driven Reproducible Workflow Orchestration
Dhanashree Petare
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
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
Nakul156
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)
Natnael Yohanes
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
Nitin@123
This project focuses on improving how relational triples are extracted from Hindi Wikipedia text for the DBpedia Hindi chapter. Currently, most...
Enhancing DBpedia Hindi Chapter - End-to-End KG Construction and Public SPARQL Access
advenkMentored by Ananya, Dr. Sanju Tiwari, Dr. Ronak +1
DBpedia extracts structured information from Wikipedia into a multilingual knowledge graph (KG), but the Hindi DBpedia KG currently lacks extensive...
Towards Amharic DBpedia
Andargachew AsfawMentored by Ricardo Usbeck, Meti, Hizkiel Alemayehu +1
Amharic Wikipedia lacks structured knowledge representation, which limits its integration into global knowledge graphs like DBpedia. This gap hinders...
Neural Extraction Framework: Enhancing DBpedia with Implicit Relation Mining
Gandharva NaveenMentored by Tommaso Soru, Diego Moussallem, Ronit Banerjee +1
The Neural Extraction Framework enhances DBpedia by extracting and integrating implicit relationships from unstructured Wikipedia text—connections...
Improving Geo-Coordinate Extraction and Precision in DBpedia's Extraction Framework
haniya konainMentored by Nausheen Fatma, Dimitris kontokostas
Many DBpedia entries, especially for cities in the Southern Hemisphere like South Africa, incorrectly store geo-coordinates with positive latitude...
Automating Wikimedia Dumps on Databus
tech0priyanshuMentored by Ronit Banerjee, Milan Dojchinovski, kurzum
Wikimedia publishes their data dumps at dumps.wikimedia.org. Currently, these dumps are listed in HTML format, requiring manual parsing to track new...
Ontology Time Machine / Package Manager using DBpedia Archivo for DBpedia
Jenifer Tabita Ciuciu-KissMentored by Johannes F, Natanael, Jan Forberg
The project focuses on improving DBpedia Archivo, an ontology archive containing over 1800 versioned snapshots of ontologies. It addresses the...
Towards A Neural Extraction Framework
AbdulsoburMentored by Tommaso Soru, Ziwei XU, Mehrzad Shahinmoghadam +1
This project aims to build an end-to-end Neural Extraction Framework. The focus of the project this year is to improve on the existing available...
Towards Amharic DBpedia
MetiMentored by Ricardo Usbeck, Hizkiel Alemayehu, Tilahun Abedissa
DBpedia is a collaborative initiative focused on extracting structured information from Wikipedia and presenting it as Linked Open Data. While...
DBpedia Hindi Chapter
Debarghya DattaMentored by Ronit Banerjee, Ananya, Dr. Sanju Tiwari +1
DBpedia, an ever-evolving repository of structured knowledge extracted from Wikipedia, has played a pivotal role in organizing information. Yet, its...
Google Summer of Code 2024: Contributor Proposal - Bringing Together LLMs and RDF Knowledge Graphs
Lucas FerrazMentored by Johannes F, Bruno Messias, Hannes Hartmann +2
This project seeks to improve the capabilities of Large Language Models in interfacing RDF Data and RDF Knowledge Graphs. This is to be achieved...
Towards a Neural Extraction Framework
Aakash ThatteMentored by Tommaso Soru, Diego Moussallem, Ziwei XU
The Dbpedia property dbo:wikiPageWikiLink helps us to see for the articles which have the outgoing link to the Berlin_Wall article in their Wikipedia...
Multilingual Neural Data-to-Text Generation
Aditya HariMentored by Diego Moussallem, Nikit
This project focuses on the problem of multilingual data-to-text generation from RDF triples. In particular, the work will revolve around the...
Knowledge Graph aware Recommendation System with DBpedia - Alvaro Lopes
Alvaro Jose LopesMentored by Edgard Marx, Paulo do Carmo
DBpedia proves to be a way of ”Bringing Order to the Web” with structured information as Open Knowledge Graph, contributing towards making quality...
Question-Answering over DBpedia with Pretrained Auto-regressive Models
Mehrzad ShahinmoghadamMentored by Tommaso Soru, Anand Panchbhai, Saurav Yogen Joshi +1
This proposal aims to contribute to addressing the challenge of generating formal SPARQL queries from natural language questions, thereby...
DBpedia eXplainable Chatbot (DBpedia XChat)
Muskan KothariMentored by Ram G Athreya, Ricardo Usbeck, Aleksandr Perevalov +1
DBpedia unifies the amount of information on the web in Wikimedia projects and provides access in the form of an Open Knowledge Graph. Started in...
DBpedia Search API enhancement (SANTé)
Ronit BanerjeeMentored by Edgard Marx, Paulo do Carmo, Ashutosh Kumar +1
This project aims to enhance the SANTE search API of DBpedia, a popular knowledge graph that provides structured data extracted from Wikipedia. The...
Neural Extraction Framework
AnanyaMentored by Tommaso Soru, Diego Moussallem, Ziwei XU
The Dbpedia property dbo:wikiPageWikiLink helps us to see for the articles which have the outlink to the Berlin_Wall article in their whole Wikipedia...
Template Discovery for Neural Question Answering over DBpedia
Saurav Yogen JoshiMentored by Tommaso Soru, Anand Panchbhai, Nausheen Fatma +1
Nowadays, data is increasing at a rapid rate and is being structured efficiently by the Linked Data Cloud. The data is stored in a specific format...
Enhancing DBpedia with image-based querying
Siddhant BansalMentored by Edgard Marx, Ashutosh Kumar, Nausheen Fatma
Currently, users can query DBpedia using text. Although text as an input is an efficient approach to query the graph, there are cases where we do not...
DEVELOPING A NEW DBPEDIA ABSTRACT EXTRACTOR
Ringwald CélianMentored by Mykola Medynskyi, Dimitris kontokostas, mhofer
DBpedia provides monthly releases produced by the DBpedia Extraction Framework. They are composed of various data artifacts that mainly stem from the...
Update DBpedia Sparql for newly updated wiki resources and specifically related to pandemic, healthcare, and heath AI fields
Guang ZhangMentored by Marvin Hofer, Sebastian Hellmann, Alexander Winter
IMPACT User-friendly QA platform for a given DBpedia resource and specifically about pandemic in real-time. GOALS To improve the DBpedia Sparql for...
Web app to generate RDF from DBpedia abstracts - Fernando Casabán Blasco
Fernando Casabán BlascoMentored by Mariano Rico
With the recent advances in the processing and analysis of texts in natural language, the conversion of texts into RDF triples is becoming a real...
Neural QA Model for DBPedia
Siddhant JainMentored by Tommaso Soru, Anand Panchbhai
In order to make DBpedia and its humongous linked data available to a larger user base in their natural languages, a Neural QA model has been...
DBpedia Live Neural Question Answering Chatbot - GSoC2021
Ashutosh Kumar-1Mentored by Edgard Marx, Diego Moussallem, Thiago Castro Ferreira +1
This project aims at building a chatbot that can query the DBpedia based on the (DBQNA) dataset, Using Natural language as well as Query language so...
Social Knowledge Graph: Employing SNA measures to Knowledge Graph
Zhipeng ZhaoMentored by Luca Virgili
When novice users use DBpedia for querying, the information they really want is always overwhelmed by numerous query results. In this project, we...
DBpedia Spotlight Dashboard: an integrated statistical information tool from the Wikipedia dumps and the DBpedia Extraction Framework artifacts
José Manuel Díaz UrracoMentored by Said Polanco-Martagón, Maribel, Beyza Yaman +2
DBpedia Spotlight was released in 2011 by DBpedia. It is a tool that allows to annotate DBpedia resources in text, providing a solution for linking...
Modular DBpedia Chatbot
Jayesh DesaiMentored by Ram G Athreya, Andreas Both, Aleksandr Perevalov +1
The project aims at extend the functionality of the current DBpedia chatbot by integrating the ecosystem of the Qanary framework including its...
User Centric Knowledge Engineering and Data Visualization
Karan KharechaMentored by Krishanu Konar, Jan Forberg, Luca Virgili
The ontologies dashboard was developed last year to show the statistics of the data in an interactive manner for helping community members to get a...
Show 2 more projects
Lifecycle Management of DBpedia Neural QA Models - Sahan Dilshan
Sahan DilshanMentored by Edgard Marx, Lahiru Hinguruduwa
DBNQA is a large database that can be used to create question answering models. Using a question answering model like NSPM, we can create and...
Towards a neural extraction framework
Ziwei XUMentored by Tommaso Soru, Thiago Castro Ferreira, Zheyuan BAI
In the large majority of cases in DBpedia, it is not clear what kind of relationship exists between the entities. Instead of extracting the triples ...
A Neural QA model for DBpedia: Compositionality
Zheyuan BAIMentored by Tommaso Soru, Anand Panchbhai
In order to make DBpedia and its humongous linked data available to a larger user base in their natural languages (only English for the moment), a...
RDF-to-Text using Generative Adverserial Networks
Niloy PurkaitMentored by Diego Moussallem, Thiago Castro Ferreira, Mariana Dias da Silva
We envisage the usage of GANs for this problem statement will result in fluent and adequate verbalization of the input RDF triples from DBpedia,...
DBpedia Neural Multilingual QA
Lahiru HinguruduwaMentored by Edgard Marx, RENATO FABBRI, Akshay Jagatap
By using the existing NSpM framework, we can translate a question asked in English language to a SPARQL query. The goal of this project is to extend...
Dashboard for Language/National Knowledge Graphs
karankharechaMentored by Jan Forberg, Luca Virgili, Sebastian Hellmann
DBpedia holds a huge amount of data, and hence it is important to know the statistics of it. It is basically a knowledge graph. Hence, a dashboard...
Combine DBpedia/Databus with IPFS
Kirill YankovMentored by Amandeep Srivastava, Sebastian Hellmann
The project assumes implementaion of integration of Databus with IPFS. Databus (https://databus.dbpedia.org) is a service which allows people (or...
A Multilingual Neural RDF Verbalizer
Marco SobrevillaMentored by Stuart Chan, Diego Moussallem, Thiago Castro Ferreira
This project aims to overcome two problems in Neural RDF Verbalizer. The first is related to the ability of the neural models to deal with unseen...
Extending Extraction Framework with Citations, Commons and Lexeme Extractors
Mykola MedynskyiMentored by Beyza Yaman, Julio Hernandez, Sebastian Hellmann
DBpedia is a crowd-sourced community effort to extract structured content from the various Wikimedia projects which is publicly available for...
Transformer of Attention Mechanism for Long-context QA
Stuart ChanMentored by Bharat, nausheenfatma, Rricha Jalota
In this GSoC project, I choose to employ the language model of transformer with attention mechanism to automatically discover query templates for the...
Multilingual Neural RDF Verbalizer for DBpedia
Dwaraknath GnaneshwarMentored by Diego Moussallem, Thiago Castro Ferreira
Natural Language Generation is the process of generating coherent natural language text from non-linguistic data. Though the community has been...
Tool to generate RDF triples from DBpedia abstract
Jayakrishna SahitMentored by Mariano Rico, Amandeep Srivastava
The main aim of this project is to research and develop a tool in order to generate highly trustable RDF triples from DBpedia abstracts. In order to...
Predicate Detection using Word Embeddings for Question Answering over Linked Data
Yajing BianMentored by Ram G Athreya, Rricha Jalota, Ricardo Usbeck
Knowledge-based question-answering system (KBQA) has demonstrated an ability to generate answers of natural language from information stored in a...
Workflow for linking External datasets
Jaydeep ChakrabortyMentored by Krishanu Konar, BEYZA YAMAN, Luca Virgili
The requirement of the project is to create a workflow for entity linking between DBpedia and external data set. Entity linking is a process of...
A Neural QA Model for DBpedia - Anand Panchbhai
AnandMentored by Tommaso Soru, Aashay Singhal, Aman Mehta
With booming amount of information being continuously added to the internet, organising the facts and serving this information to the users becomes a...
Complex Embeddings for OOV Entities
Bharat SuriMentored by Tommaso Soru, Thiago Galery, Peng Xu
The aim of this project is to enhance the DBpedia Knowledge Base by enabling the model to learn from the corpus and generate embeddings for different...
Web application to detect incorrect mappings across DBpedias in different languages
Víctor FernándezMentored by Mariano Rico, Dimitris, Nandana
The DBpedia mappings for each language are not aligned, causing inconsistencies in the quality of the RDF generated. This is often a consequence of...
A Neural QA Model for DBpedia
Aman MehtaMentored by Tommaso Soru, Ricardo Usbeck
Extending Neural SPARQL Machines (NSpM) to cover more DBpedia classes to enable high quality Question Answering
First Chatbot for DBpedia - Ram G Athreya
Ram G AthreyaMentored by Ricardo Usbeck
The requirement of the project is to build a conversational Chatbot for DBpedia which would be deployed in at least two social networks. There are...
The table extractor
Luca VirgiliMentored by Emanuele Storti, Domenico Potena
This is a proposal for the table extractor project. In this paper I explain how to improve the last year's project and to create a general way in...
Wikipedia List-Extractor
KrishhMentored by Emanuele Storti, Marco Fossati, Domenico Potena
Wikipedia, being the world’s largest encyclopedia, has humongous amount of information present in form of text. While key facts and figures are...
Knowledge Base Embeddings for DBpedia
Nausheen FatmaMentored by SANDRO ATHAIDE COELHO, Tommaso Soru
Knowledge base embeddings has been an active area of research. In recent years a lot of research work such as TransE, TransR, RESCAL, SSP, etc. has...
Unsupervised Learning of DBpedia Taxonomy
Shashank MotepalliMentored by Marco Fossati, Dimitris Kontokostas
DBpedia tries to extract structured information from Wikipedia and make information available on the Web. In this way, the DBpedia project develops a...
DBpedia Mappings Front-End Administration
Ismael RodriguezMentored by Anastasia Dimou, Wouter Maroy, Dimitris Kontokostas
Although the DBPedia Extraction Framework was adapted to support RML mappings thanks to a project of last year GSoC, the user interface to create...
Knowledge Base Embeddings for DBpedia - Akshay Jagatap
Akshay JagatapMentored by SANDRO ATHAIDE COELHO, Xu Peng, Tommaso Soru
The project aims at defining embeddings to represent classes, instances and properties. Such a model tries to quantify semantic similarity as a...
DBpedia Lookup Improvements
Kunal JhaMentored by Sandro, Tim Ermilov, Axel Ngonga +1
DBpedia is one of the most extensive and most widely used knowledge base in over 125 languages. DBpedia Lookup is a tool that allows The DBpedia...
Combining DBpedia and Topic Modelling
wojtuchMentored by taraathan@gmail.com, Alexandru, swadpasc
DBpedia, a crowd- and open-sourced community project extracting the content from Wikipedia, stores this information in a huge RDF graph. DBpedia...
The List Extractor
FedBaiMentored by Emanuele Storti, Marco Fossati, Claudia Diamantini +1
The project focuses on the extraction of relevant but hidden data which lies inside lists in Wikipedia pages. The information is unstructured and...
Automatic mappings extraction
Aditya NambiarMentored by Nilesh, Dimitris Kontokostas, Chile
DBpedia currently maintains a mapping between Wikipedia info-box properties to the DBpedia ontology, since several similar templates exist to...
A Hybrid Classifier/Rule-based Event Extractor for DBpedia Proposal
Vincent BohlenMentored by Marco Fossati, Alexandru, swadpasc
In modern times the amount of information published on the internet is growing to an immeasurable extent. Humans are no longer able to gather all the...
The Table Extractor
s.papaliniMentored by Emanuele Storti, Marco Fossati, Claudia Diamantini +1
Wikipedia is full of data hidden in tables. The aim of this project is to exploring the possibilities of take advantage of all the data represented...
Inferring infobox template class mappings from Wikipedia + Wikidata
Peng_XuMentored by Nilesh, Domenico Potena
There are many infoboxes on wikipedia. Every infobox has some properties. Actually, every infobox follows a certain template. In my project, the goal...
Integrating RML in the Dbpedia extraction framework
wmaroyMentored by Anastasia Dimou, Alexandru, Dimitris Kontokostas
This project is about integrating RML in the Dbpedia extraction framework. Dbpedia is derived from Wikipedia infoboxes using the extraction framework...
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Data: Google Summer of Code public archive. Contributor counts are accepted projects.