Global and Unified Access to Knowledge Graphs.
Contributor: Dhanashree Petare
The DBpedia Databus Python Client currently supports downloading, deploying, and deleting datasets but lacks reproducibility, workflow orchestration,...
Contributor: Malla Siddharth Reddy
Accessing the billions of facts stored in DBpedia's knowledge graph currently requires writing SPARQL queries, putting this incredible resource out...
Contributor: Nakul156
This project scales the DBpedia Neural Extraction Framework into a production-ready system by integrating a Neuro-Symbolic validation layer. Key...
Contributor: Natnael Yohanes
The Amharic DBpedia chapter's past implementation was largely manual, relying on tedious template mapping that has proven impossible to scale given...
Contributor: Nitin@123
This project focuses on improving how relational triples are extracted from Hindi Wikipedia text for the DBpedia Hindi chapter. Currently, most...
Contributor: Aditya Venkatesh
DBpedia extracts structured information from Wikipedia into a multilingual knowledge graph (KG), but the Hindi DBpedia KG currently lacks extensive...
Contributor: Andargachew Asfaw
Amharic Wikipedia lacks structured knowledge representation, which limits its integration into global knowledge graphs like DBpedia. This gap hinders...
Contributor: Gandharva Naveen
The Neural Extraction Framework (NEF) enhances DBpedia by extracting and integrating implicit relationships from unstructured Wikipedia text,...
Contributor: haniya konain
Many DBpedia entries, especially for cities in the Southern Hemisphere like South Africa, incorrectly store geo-coordinates with positive longitude...
Contributor: tech0priyanshu
Wikimedia publishes their data dumps at dumps.wikimedia.org. Currently, these dumps are listed in HTML format, requiring manual parsing to track new...
Contributor: Jenifer Tabita Ciuciu-Kiss
The project focuses on improving DBpedia Archivo, an ontology archive containing over 1800 versioned snapshots of ontologies. It addresses the...
Contributor: Abdulsobur
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...
Contributor: Meti
DBpedia is a collaborative initiative focused on extracting structured information from Wikipedia and presenting it as Linked Open Data. While...
Contributor: Debarghya Datta
DBpedia, an ever-evolving repository of structured knowledge extracted from Wikipedia, has played a pivotal role in organizing information. Yet, its...
Contributor: Lucas Ferraz
This project seeks to improve the capabilities of Large Language Models in interfacing RDF Data and RDF Knowledge Graphs. This is to be achieved...
Contributor: Aakash Thatte
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...
Contributor: Aditya Hari
This project focuses on the problem of multilingual data-to-text generation from RDF triples. In particular, the work will revolve around the...
Contributor: Alvaro Jose Lopes
DBpedia proves to be a way of ”Bringing Order to the Web” with structured information as Open Knowledge Graph, contributing towards making quality...
Contributor: Mehrzad Shahinmoghadam
This proposal aims to contribute to addressing the challenge of generating formal SPARQL queries from natural language questions, thereby...
Contributor: Muskan Kothari
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...
Contributor: Ronit Banerjee
This project aims to enhance the SANTE search API of DBpedia, a popular knowledge graph that provides structured data extracted from Wikipedia. The...
Contributor: Ananya
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
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
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 Célian
DBpedia provides monthly releases produced by the DBpedia Extraction Framework. They are composed of various data artifacts that mainly stem from the...
Contributor: Guang Zhang
IMPACT User-friendly QA platform for a given DBpedia resource and specifically about pandemic in real-time. GOALS To improve the DBpedia Sparql for...
Contributor: Fernando Casabán Blasco
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...
Contributor: Siddhant Jain
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...
Contributor: Ashutosh Kumar-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...
Contributor: Zhipeng Zhao
When novice users use DBpedia for querying, the information they really want is always overwhelmed by numerous query results. In this project, we...
Contributor: José Manuel Díaz Urraco
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...
Contributor: Jayesh Desai
The project aims at extend the functionality of the current DBpedia chatbot by integrating the ecosystem of the Qanary framework including its...
Contributor: Karan Kharecha
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...
Contributor: Sahan Dilshan
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...
Contributor: Ziwei XU
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 ...
Contributor: Zheyuan BAI
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...
Contributor: Niloy Purkait
We envisage the usage of GANs for this problem statement will result in fluent and adequate verbalization of the input RDF triples from DBpedia,...
Contributor: Lahiru Hinguruduwa
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...
Contributor: karankharecha
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...
Contributor: Kirill Yankov
The project assumes implementaion of integration of Databus with IPFS. Databus (https://databus.dbpedia.org) is a service which allows people (or...
Contributor: Marco Sobrevilla
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...
Contributor: Mykola Medynskyi
DBpedia is a crowd-sourced community effort to extract structured content from the various Wikimedia projects which is publicly available for...
Contributor: Stuart Chan
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
Natural Language Generation is the process of generating coherent natural language text from non-linguistic data. Though the community has been...
Contributor: Jayakrishna Sahit
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
Knowledge-based question-answering system (KBQA) has demonstrated an ability to generate answers of natural language from information stored in a...
Contributor: Jaydeep Chakraborty
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
With booming amount of information being continuously added to the internet, organising the facts and serving this information to the users becomes a...
Contributor: Bharat Suri
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...
Contributor: Víctor Fernández
The DBpedia mappings for each language are not aligned, causing inconsistencies in the quality of the RDF generated. This is often a consequence of...
Contributor: Aman Mehta
Extending Neural SPARQL Machines (NSpM) to cover more DBpedia classes to enable high quality Question Answering
Contributor: Ram G Athreya
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...
Contributor: Luca Virgili
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...
Contributor: Krishh
Wikipedia, being the world’s largest encyclopedia, has humongous amount of information present in form of text. While key facts and figures are...
Contributor: Nausheen Fatma
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...
Contributor: Shashank Motepalli
DBpedia tries to extract structured information from Wikipedia and make information available on the Web. In this way, the DBpedia project develops a...
Contributor: Ismael Rodriguez
Although the DBPedia Extraction Framework was adapted to support RML mappings thanks to a project of last year GSoC, the user interface to create...
Contributor: Akshay Jagatap
The project aims at defining embeddings to represent classes, instances and properties. Such a model tries to quantify semantic similarity as a...
Contributor: Kunal Jha
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...
Contributor: wojtuch
DBpedia, a crowd- and open-sourced community project extracting the content from Wikipedia, stores this information in a huge RDF graph. DBpedia...
Contributor: FedBai
The project focuses on the extraction of relevant but hidden data which lies inside lists in Wikipedia pages. The information is unstructured and...
Contributor: Aditya Nambiar
DBpedia currently maintains a mapping between Wikipedia info-box properties to the DBpedia ontology, since several similar templates exist to...
Contributor: Vincent Bohlen
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...
Contributor: s.papalini
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...
Contributor: Peng_Xu
There are many infoboxes on wikipedia. Every infobox has some properties. Actually, every infobox follows a certain template. In my project, the goal...
Contributor: wmaroy
This project is about integrating RML in the Dbpedia extraction framework. Dbpedia is derived from Wikipedia infoboxes using the extraction framework...
