Global and Unified Access to Knowledge.

Technologies
python, javascript, java, apache spark, skala
Topics
semantic web, linked data, ontologies, wikipedia, knowledge graph
Global and Unified Access to Knowledge.

DBpedia data is served as Linked Data, which is revolutionizing the way applications interact with the Web. One can navigate this Web of facts with standard Web browsers, automated crawlers or pose complex queries with SQL-like query languages (e.g. SPARQL). The English version of the DBpedia knowledge base describes 4.58 million things. In addition, we provide localized versions of DBpedia in 125 languages. The full DBpedia data set features 38 million labels and abstracts in 125 different languages, 25.2 million links to images and 29.8 million links to external web pages; 80.9 million links to Wikipedia categories, and 41.2 million links to YAGO categories. DBpedia is connected with other Linked Datasets by around 50 million RDF links Linked Data has been revolutionizing the way applications interact with the Web. While the Web2.0 technologies opened up much of the “guts” of websites for third-parties to reuse and repurpose data on the Web, they still require that developers create one client per target API. With Linked Data technologies, all APIs are interconnected via standard Web protocols and languages. One can navigate this Web of facts with standard Web browsers, automated crawlers or pose complex queries with SQL-like query languages (e.g., SPARQL). Have you thought of asking the Web about all cities with low criminality, warm weather and open jobs? This new Web of interlinked databases provides useful knowledge that can complement the textual Web in many ways. See, for example, how bloggers tag their posts or assign them to categories in order to organize and interconnect their posts. This is a simple way to connect unstructured text to a structure (hierarchy of tags). For further examples visit: https://wiki.dbpedia.org/gsoc We are regularly growing our community through GSoC and can deliver more and more opportunities to you.

2019 Program

Successful Projects

Contributor
Stuart Chan
Mentor
Bharat, nausheenfatma, Rricha Jalota
Organization
DBpedia
Transformer of Attention Mechanism for Long-context QA
In this GSoC project, I choose to employ the language model of transformer with attention mechanism to automatically discover query templates for the...
Contributor
Dwaraknath Gnaneshwar
Mentor
Diego Moussallem, Thiago Castro Ferreira
Organization
DBpedia
Multilingual Neural RDF Verbalizer for DBpedia
Natural Language Generation is the process of generating coherent natural language text from non-linguistic data. Though the community has been...
Contributor
Jayakrishna Sahit
Mentor
Mariano Rico, Amandeep Srivastava
Organization
DBpedia
Tool to generate RDF triples from DBpedia abstract
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...
Contributor
Yajing Bian
Mentor
Ram G Athreya, Rricha Jalota, Ricardo Usbeck
Organization
DBpedia
Predicate Detection using Word Embeddings for Question Answering over Linked Data
Knowledge-based question-answering system (KBQA) has demonstrated an ability to generate answers of natural language from information stored in a...
Contributor
Jaydeep Chakraborty
Mentor
Krishanu Konar, BEYZA YAMAN, Luca Virgili
Organization
DBpedia
Workflow for linking External datasets
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...
Contributor
Anand
Mentor
Tommaso Soru, Aashay Singhal, Aman Mehta
Organization
DBpedia
A Neural QA Model for DBpedia - Anand Panchbhai
With booming amount of information being continuously added to the internet, organising the facts and serving this information to the users becomes a...