https://github.com/albertmeronyo/trusted-linked-data

Awesomeness
https://github.com/albertmeronyo/trusted-linked-data

Last synced: 28 days ago
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Awesomeness

• Host: GitHub
• URL: https://github.com/albertmeronyo/trusted-linked-data
• Owner: albertmeronyo
• Created: 2018-02-07T08:31:15.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2022-12-26T20:15:04.000Z (about 2 years ago)
• Last Synced: 2024-10-05T23:21:51.724Z (3 months ago)
• Language: Python
• Size: 6.84 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        
# trusted-linked-data

Awesomeness

## Requirements

You need a local IPFS daemon running. [Install IPFS on your platform](https://ipfs.io/docs/install/), then just run `ipfs daemon` from your terminal.

## Usage

Clone anywhere, cd in there, and


virtualenv .

source bin/activate

pip install -r requirements.txt

cd src

python tld.py rdf input file> -d|-t



**-d** will upload the whole RDF document to IPFS

**-t** will upload individual RDF triples to IPFS

## Random notes

- [IPFS](https://en.wikipedia.org/wiki/InterPlanetary_File_System) + Tobias TrustyURI blah = TRUSTED LINKED DATA (this will be a seal of approval)

- Embed trust in HTTP headers of request and response. You can ask for verification and get a status code that tells you if it’s verified!

- Eval: measure performance, threshold of how much you need to put into the IPFS to have “enough” trust

- Consider: protocol of requests, you don't want the last one coming from the server

So need the following:

- 2 use cases: publish Linked Data on ipfs, and retrieve *trusted* Linked Data from ipfs

- Publishing

  - You can publish a URI, a triple, or an RDF document

  - When you do, you get an IPFS link (hash) identifying the URI? Triple? Document?

  - Mapping between ipfs links and http links?

- Retrieving

## TODO

- [] Read on conceptual, basic functioning of [IPFS](https://en.wikipedia.org/wiki/InterPlanetary_File_System)

- [] Check out the [Python](https://github.com/ipfs/py-ipfs), [JS](https://github.com/ipfs/js-ipfs) and [Go](https://github.com/ipfs/go-ipfs) (most mature) implementations

- [] Idea is to build either a wrapper around [rdflib](https://github.com/RDFLib/rdflib), or use the JSON helper functions to get JSON-LD into IPFS