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Saurabh's GSoC 2023 blog post
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username: saurabh
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---
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name: Saurabh Kumar
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---
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md5_hashed_email:
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---
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about:
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Saurabh worked on the [CC Legal Tools app][app] as contributor for [Google
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Summer of Code (GSoC) 2023](/programs/history/).
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[app]: https://github.com/creativecommons/cc-legalt-tools-app
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name: cc-legal-tools
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name: gsoc-2023
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title: CC Legal Tools: Machine-Readable Layer
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---
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categories:
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open-source
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collaboration
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cc-legal-tools
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gsoc-2023
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---
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author: saurabh
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---
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pub_date: 2023-08-25
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---
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body:
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![GSoC 2023 and CC](gsoc2023cc.png)
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Greetings, readers!🌟 I'm excited to share that as part of Google Summer of
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Code (GSoC) 2023, I had the incredible opportunity to contribute to the
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exciting project "CC Legal Tools: Machine-Readable Layer." This journey has
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been a remarkable blend of learning, coding, and collaboration, and I'm
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thrilled to share the highlights of this journey with you all.
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## Project Overview
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The project's core focus was to enhance the Creative Commons (CC) [Legal Tools
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app][app] by introducing a robust machine-readable layer. The machine-readable
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layer enables computers to understand the intricacies of CC licenses, making it
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easier for legal professionals, developers, and enthusiasts to work with CC
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licenses programmatically.
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[app]: https://github.com/creativecommons/cc-legalt-tools-app
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## Getting Started
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My journey began with delving into the existing codebase and understanding the
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project's requirements i.e. understanding the app's architecture, its
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components, and how it currently handled CC licenses was crucial for what lay
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ahead.
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RDF, or Resource Description Framework, emerged as a crucial player in the
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project. Grasping the intricacies of RDF and its role in representing licenses
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was a necessary step in the journey.
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## Challenges and Learning Opportunities
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One of my early challenges was unraveling the complexities of the legacy
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RDF/XML files. How did they differ from the new RDF/XML files we aimed to
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generate? This exploration led me to discover improvements in structure,
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updated license information, and additional metadata.
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Generating RDF files for various licenses and versions became a puzzle to
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solve. Crafting RDF triples, understanding licensing nuances, and weaving this
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logic into the app's views became both a learning opportunity and a rewarding
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challenge.
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## Contributions and The Work
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As the project evolved, I worked to dynamically generate RDF/XML files,
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allowing the app to generate machine-readable licenses on-the-fly.
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To maintain an organized approach, it is ensured that the generated RDF files
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are sorted, all the credit goes to [Timid Robot][TimidRobot].
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The newly generated RDF/XML aims to enhance the clarity, accuracy,
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compatibility, and standardization of Creative Commons license representation
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in RDF format. These improvements boost machine-readability and semantic
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understanding, fostering seamless integration and interpretation in digital
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systems.
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[TimidRobot]: /blog/authors/TimidRobot/
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## Overview of changes:
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- **Improved Structure and Consistency:**
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- The new RDF/XML boasts a more organized, standardized structure, aligning
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with RDF standards. This enhances machine comprehension and accurate data
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processing.
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- **Updated License Information**:
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- License information has been updated to reflect the latest permissions and
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restrictions. This ensures users and systems are informed accurately.
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- **Alignment with RDF Best Practices**:
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- Changes align the representation with RDF best practices. This boosts
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interoperability and compatibility, thanks to standardized namespaces,
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consistent naming, and proper relationship definitions.
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Throughout the journey, I had the privilege of working closely with my mentor,
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engaging in collaborative discussions and receiving insightful code reviews..
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As my GSoC journey draws to a close, I'm excited about the foundation we've
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laid for the CC Legal Tools app. The machine-readable layer opens doors to a
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future of smarter, automated legal processes.
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The improvements made during GSoC will continue to ripple through the CC Legal
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Tools app, benefiting users and the broader open-source community.
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## Mentor and Support
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A heartfelt thanks to my mentor, [Timid Robot][TimidRobot], for guiding me
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through this incredible journey. Your unwavering support, wisdom, feedback, and
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willingness to share knowledge have truly been invaluable. I'm deeply grateful
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for the opportunity to learn and grow under your mentorship. Thank you for
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making this journey unforgettable.
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## Takeaways and Conclusion
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GSoC became a platform for me to acquire new skills, dive into complex
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concepts, and broaden my horizons. The learning experience was immersive and
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transformative.
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Being part of the open-source community was a revelation. Interacting with
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like-minded individuals, contributing to a shared goal, and experiencing the
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true essence of collaboration was a highlight.
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My GSoC journey has been a remarkable adventure of exploration, discovery, and
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growth. The project's mission to create a machine-readable layer for CC Legal
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Tools has left an indelible mark on my journey as a developer.
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Thank you for joining me on this expedition. Here's to the future of
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open-source contributions and the endless possibilities they hold.
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Cheers,
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Saurabh Kumar
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