Thank you for the same, I have a small request could you provide more material for reference in terms of technical papers, and references anything helps.
Dimitris Kontokostas, Charalampos Bratsas, Sören Auer, Sebastian Hellmann, Ioannis Antoniou, George Metakides, Internationalization of Linked Data: The case of the Greek DBpedia edition, Web Semantics: Science, Services and Agents on the World Wide Web, Volume 15, September 2012, Pages 51–61, ISSN 1570–8268, 10.1016/j.websem.2012.01.001.
I shall be a junior mentor for this project. I’m here to help you and clear queries you have about the project. Please deep dive into the Problem statement, get familiar with the Extraction Framework, and play around with the Dbpedia tools at your disposal.
There’s a bunch of warm-up tasks, research papers in the already described Problem statement to kickstart your journey.
Remember, the GSoC proposal deadline is April 2nd, but why wait? Get a draft over to me at ananyahooda04@gmail.com, and at shodhguru21@gmail.com (comment access, please!). Here is an example of an excellent proposal for your reference. Hoping to see some novel methodologies involving NLP or LLMs or something out of the box to go about the Problem.
DBpedia Chapter in Hindi language project. This initiative is an exciting opportunity to bridge the gap in knowledge accessibility for Hindi-speaking communities and to enrich the global semantic web with linguistic diversity.
1.Understanding Ontology Usage: Analyze classes and properties in Hindi Wikipedia using statistical methods to identify key ontological elements.
2.Implementing Autocompletion: Develop a feature suggesting relevant ontology elements based on statistical usage data to facilitate query construction and exploration.
3.Exploring Machine Learning: Apply machine learning to improve prediction accuracy for ontology element recommendations, exploring existing research for applicable models.
4.Comparative Analysis and Optimization: Evaluate and refine both statistical and machine learning approaches to optimize the autocompletion feature.
5.Deployment and Integration: Integrate the optimal solution into the Archivo web service for seamless use within the DBpedia ecosystem, enhancing user experience and community engagement.
This is a preliminary idea based on my present understanding. Please feel free to correct any misconceptions and suggest additions or alterations to the concept. Thank you in advance!
As the Application submission period has commenced, it would be nice if you can share your proposal drafts and complete the warm-up tasks. The early you share, it would be better to get suggestions from the mentors. Detail-oriented proposals are appreciated.
Hey I’ve read all the previous responses, and now that I’m more informed about GSoC, I want to participate in this forum. I’m a Hindi speaker, and I’ve thoroughly read everything about the warm-up. I can send my proposal by tomorrow. Could you guys please let me know if I’m eligible? @ananyaiitbhilai@tiwarisanju18
@ananyaiitbhilai@tiwarisanju18 Dear mentors I have sent my proposal to your given Email
Kindly revert back if needed to add something to it …
THANKS YOU
Shashank jha
Hi,
Following are some common mistakes in the proposals:
Lack of clarity of problem statement
Not gone through warm-up tasks and Neural Extraction Framework project
Timeline section is not organized properly. We expect you to have completed the warm up tasks and getting acquainted with the project while you were writing the proposal (before starting the project).
Please focus on background work, methodology, your understanding of the problem statement section more.