Carleton University - School of Computer Science Honours Project![SCS Honours Project Image](https://service.scs.carleton.ca/sites/default/files/styles/honours_project_cover_page/public/honours_projects/2023/graph_1.png?itok=r3ikOjMf)
Fall 2023
Exploring the use of knowledge graph in accessing data veracity
![SCS Honours Project Image](https://service.scs.carleton.ca/sites/default/files/styles/honours_project_cover_page/public/honours_projects/2023/graph_1.png?itok=r3ikOjMf)
ABSTRACT
The internet gives access to massive quantities of data in various formats; audio, image, text, and
video; generated by humans or artificial intelligence. In this data-driven world, the rapid generation
of information across various domains has challenged the reliability and trustworthiness of data.
Ensuring the veracity of data has emerged as a fundamental concern for leveraging data effectively
across different sectors.
Traditional methods of ensuring information validity often fall short of handling the scale and
complexity of modern data sources. However, the rise of knowledge graphs provides a promising
solution to address the issue of data veracity. Knowledge graphs represent information through
entities, relationships, and labels in a structured manner and provide a robust framework for
managing, organizing, and validating datasets. This project explores the use of knowledge graph for
data veracity as outlined in the paper entitled, “The Wisdom of Minority: Unsupervised Slot Filling
Validation based on Multidimensional Truth Finding. ” Specifically, this project focuses on the
different construction methods of knowledge graphs and replicating the knowledge graph used in the above mentioned research paper.