Validation framework for schema and query translation

Schema and query translation often requires deep expertise and knowledge of source and target schemas and their mapping constraints. Automated translation solutions help minimize the need for such deep expertise and thus, human involvement. However, using these solutions can still be challenging for a user with limited expertise and knowledge on schemas and their mapping constraints. This is because automated solutions do not guarantee the quality of the translation and mainly rely on the user's knowledge of the schema to rectify translation errors. In this thesis, we aim to help users improve the quality of converting APIs described by OpenAPI Specification into GraphQL. We use a rule-based validation framework and integrate it with LION, a data integration system for web services. We also develop a generic rule set and metrics that guide users with less expertise to create correct translations. Furthermore, the framework is extensible which means that users can extend the framework by adding more rules that may be suitable for their translations. We also provide users with two metrics to help measure the ratio of translations that have been successfully translated and validated.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2022

Author dc:creator

• Meherwal, Richa

Contributors dc:contributor

• Chang, Kevin C

• query translation validation
• schema translation validation
• OAS to GraphQL validation

Statement dc:rights

• Copyright 2022 Richa Meherwal

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/116241

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F116241