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Description 

Why is Telecom Roaming Agreements?

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The suggested project plan will be conducted in three phases. The first is to collect and gather the main GSMA templates and previous agreements from CSPs, analyze those agreements text and define the main features to build the NLP model. The second phase will be focused on mapping the drafting and negotiation process into the smart contract logic that will enable at the end constructing the draft agreement utilizing the NLP model constructed from the first phase. The third phase will be towards building a simple UI that will handle demonstrating building a simple agreement utilizing the outcome of the first and second phase.

Additional Information

https://www.gsma.com/latinamerica/wp-content/uploads/2012/08/GSMA-Mobile-roaming-web-English.pdf

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https://www.hyperledger.org/wp-content/uploads/2019/11/HL_SolutionsBrief_ReduceCost_V8.pdf

Learning Objectives

1. Provide understanding of Hyperledger fabric concepts

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7. Provide a unique experience on how different technologies and domains can integrate to solve real life problems

Expected Outcome

The expected outcome of this project, would include:

1. Building a drafting library and an NPL model that will include a digital version of the most relevant and important articles in a the GSMA AA.12, AA.13 and AA-14 roaming agreement templates.
2. Developing a chaincode that will map all steps of the drafting and negotiation business processes for roaming agreements.
3. Building a PoC for UI to handle the agreement construction
4. Writing a solution document summarizing the implementation details

Relation to Hyperledger 

The expected outcome provides a very appealing use case for the how Hyperledger Fabric can enable automating the business process of roaming agreements in Telecom. Apart from the drafting and negotiation process the proposed approach can help in shoing how this can be extended to work in other verticals for example in supply chain and possibility later on for integration with Baseline protocol.

Education Level

Masters or Ph.D. level students are preferred.

Skills

Must:

• Willingness to contribute to a meaningful mission, in an open-source mentality
• Teamwork skills, and skill to maintain good communication with other parties that might be involved to ensure a successfully completed project
• Good understanding of Hyperledger Fabric technology
• Experience with one the following programming language for chaincode development (javascript or go ) 
• Experience with building NLP models.

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• Telecom related experience.

Future plans

The plan for this project is to be incubated in the GSMA or TM Forum catalyst projects to make it go into a more formal industry standardization, and also to extend that to Service Level Agreement SLA automation.

Preferred Hours and Length of Internship

Both Full-time or Part-time are possible options, preferably full-time.

Mentor(s) Names and Contact Info

Ahmad Sghaier Omar, a2sghaie@uwaterloo.ca

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Noureddin Sadawi, noureddin@softlight.tech

Mentee

Santiago Figueroa-Lorenzo CEIT and University of Navarra, sfigueroa@ceit.es, santiagofigueroalorenzo@gmail.com

Project Results

Medium Articles that support the project

The project has been documented through the following Medium articles:

1. Blockchain-based digitization of the roaming agreement drafting process
2. NLP Engine to detect variables, standard clauses, variations, and customized texts
3. Chaincode design for managing the drafting of roaming agreements
4. Chaincode implementation for managing the drafting of roaming agreements

Scientific Contributions that support the project

1. A Natural Language Processing Approach for the Digitalization of Roaming Agreements
   • Sent to the Conference: ILCICT 2021 (Current status): Under review

Relevant Project repository:

• https://github.com/sfl0r3nz05/NLP-DLT/

Final Report

Demo(s):

NLP Part:

HFB Part: