Summary of Perennial Semantic Data Terms Of Use For Decentralized Web, by Rui Zhao et al.
Perennial Semantic Data Terms of Use for Decentralized Web
by Rui Zhao, Jun Zhao
First submitted to arxiv on: 12 Mar 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY); Logic in Computer Science (cs.LO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper addresses concerns about user privacy violations on the Web by proposing a novel approach to Data Terms of Use (DToU) for decentralized architectures like Solid. The authors develop a formal description of DToUs, allowing users and applications to specify their own policies using Turtle, Notation 3, and RDF Surfaces. An automated reasoner verifies compliance and derives output data policies. This perennial language enables ongoing checks across users, applications, and activity cycles. The solution integrates seamlessly with other semantic tools for enhanced interoperability, as demonstrated by its integration into the Solid framework. Performance benchmarking shows promising results. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The Web has become a concern for user privacy, but decentralized systems like Solid can help. However, it’s hard to decide which app can be trusted with our data. We propose a new way of understanding what apps are allowed to do with our data (Data Terms of Use or DToUs). It’s like having a special set of rules that we agree to follow. This makes sure that apps don’t do anything bad with our data without us knowing. The system is designed so that it can keep checking and making sure everything is okay, even when we’re not using it. We’ve tested this idea in the Solid framework and it works! |
