DBpedia Hindi Chapter — GSoC 2024

Dear @rishitagarwal2404 @kumarshivam @nikkvijay32 @yash-srivastava19 @arup_chauhan @StarfishCode @Injector_Ash @deba-iitbh @AnanyaD @Ronak Panchal

Please share your proposal in the following format:
http://tommaso-soru.it/files/misc/Akshay-DBpedia-GSoC-2017-proposal.pdf

Please share the proposal as a google doc to: shodhguru21@gmail.com

Timeline: Zeitachse: Google Summer of Code 2024  |  Google for Developers

Thank You

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.

Thank You
Best Regards

@StarfishCode
Please take some idea.

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@tiwarisanju18

Thank you for the reply. Can we get to know more about the literature review regarding the topic, previous papers for reference and further research?

Please find here:

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.

Hi @rishitagarwal2404 @kumarshivam @nikkvijay32 @yash-srivastava19 @arup_chauhan @StarfishCode @Injector_Ash @deba-iitbh @AnanyaD

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.

Cheers!
Ananya

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@ananyaiitbhilai thankyou for giving these valuable informations.

@ananyaiitbhilai “Thank you so much, Ananya! Really looking forward to diving into the project and learning from your guidance.”

Hi mentors,

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!

Best regards,
Nikhil

Dear @nikkvijay32

Thank you for exploring it.
Please include it in to the proposal and send it.

Thank You

Hi @rishitagarwal2404 @kumarshivam @nikkvijay32 @yash-srivastava19 @arup_chauhan @StarfishCode @Injector_Ash @deba-iitbh @AnanyaD

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.

Some more instructions: Click Here

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Hii @ananyaiitbhilai ,I have sent my proposal.kindly review it so, I can improve further ):

Hi @kumarshivam I didn’t receive your proposal, please share it as a google doc on my mail id ananyahooda04@gmail.com

Hi @ananyaiitbhilai ,I have re-sent the email, complete with the attached proposal.

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

Thankyou
Shashank jha.

@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

Dear Shashank
We have received your proposal, you will be notified son.

Thank You

Hi @rishitagarwal2404 @kumarshivam @nikkvijay32 @yash-srivastava19 @arup_chauhan @StarfishCode @Injector_Ash @AnanyaD @ananyaiitbhilai
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Dear All

Please send your proposal on shodhguru21@gmail.com or tiwarisanju18@ieee.org as I have received a few proposals.

Thank You

@tiwarisanju18 sir I have sent my proposal to you

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.