ENGS 89/90 Reports

Year of Graduation

2024

Project Advisor

Peter Chin

Instructor

Solomon Diamond

Document Type

Report

Publication Date

2024

Abstract

Our sponsor, Equitus, an artificial intelligence company based in Clearwater, Florida, is committed to making vast amounts of information and data easily accessible to its customers. Equitus enables users to input various document types into its platform to receive relevant data in visualized graphic form. To enhance their platform further, Equitus aims to incorporate data from Wikidata, a structured database with extensive information. However, accessing Wikidata efficiently requires using SPARQL, a complex and uncommon coding language, posing a barrier for usage. In light of this obstacle, our team was tasked with developing a solution: a generative AI tool capable of transforming natural language questions into valid SPARQL queries. Our proposed machine learning model performs with a BLEU score of 25.21, signifying its potential in accurately translating natural language into SPARQL queries. The finalized model has the ability to process natural language input, ultimately eliminating the need for users to possess prior knowledge of the SPARQL coding language to access the data available from Wikidata. The solution is designed to seamlessly integrate into Equitus' platform to enable users to effortlessly access and utilize the data in Wikidata for informed decision making. This tool not only lowers the barrier to entry but also democratizes access to data, driving innovation and informed decision making.With our machine learning model, Equitus customers can confidently navigate and extract valuable insights from Wikidata's collection of structured data.

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