Global and Unified Access to Knowledge Graphs.

Technologies
python, javascript, java, scala, rdf
Topics
machine learning, semantic web, linked data, knowledge graph, largelanguagemodel
Global and Unified Access to Knowledge Graphs.
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.
2022 Program

Successful Projects

Contributor
Ananya
Mentor
Tommaso Soru, Diego Moussallem, Ziwei XU
Organization
DBpedia
Neural Extraction Framework
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...
Contributor
Saurav Yogen Joshi
Mentor
Tommaso Soru, Anand Panchbhai, Nausheen Fatma, Dr. Sanju Tiwari
Organization
DBpedia
Template Discovery for Neural Question Answering over DBpedia
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...
Contributor
Siddhant Bansal
Mentor
Edgard Marx, Ashutosh Kumar, Nausheen Fatma
Organization
DBpedia
Enhancing DBpedia with image-based querying
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...
Contributor
Ringwald CĂ©lian
Mentor
Mykola Medynskyi, Dimitris kontokostas, mhofer
Organization
DBpedia
DEVELOPING A NEW DBPEDIA ABSTRACT EXTRACTOR
DBpedia provides monthly releases produced by the DBpedia Extraction Framework. They are composed of various data artifacts that mainly stem from the...