A Comprehensive Approach for Graph Data Warehouse Design: A Case Study for Learning Path Recommendation Based on Career Goals

Viet Nguyen, Viet Nguyen, Vu Bui, Vu Bui, Thu Minh Tran Nguyen, Thu Minh Tran Nguyen

2024

Abstract

Today, organizations leverage big data analytics for insights and decision-making, handling vast amounts of structured and unstructured data. Traditional data warehouses (TDW) are suboptimal for such analytics, creating a demand for NoSQL-based modern data warehouses (DWs) that offer improved storage, scalability, and unstructured data processing. Graph-based data models (GDMs), a common NoSQL data model, are considered the next frontier in big data modeling. They organize complex data points based on relationships, enabling analysts to see connections between entities and draw new conclusions. This paper provides a comprehensive methodology for graph-based data warehouse (GDW) design, encompassing conceptual, logical, and physical phases. In the conceptual stage, we propose a high-abstraction data model for NoSQL DW, suitable for GDM and other NoSQL models. During the logical phase, GDM is used as the logical DW model, with a solution for mapping the conceptual DW model to GDW. We illustrate the GDW design phases with a use case for learning path recommendations based on career goals. Finally, we carried out the physical implementation of the logical DW model on the Neo4j platform to demonstrate its efficiency in managing complex queries and relationships, and showcase the applicability of the proposed model.

Paper Citation

in Harvard Style

Nguyen V., Bui V. and Minh Tran Nguyen T. (2024). A Comprehensive Approach for Graph Data Warehouse Design: A Case Study for Learning Path Recommendation Based on Career Goals. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS; ISBN 978-989-758-716-0, SciTePress, pages 230-237. DOI: 10.5220/0012945100003838

in Bibtex Style

@conference{kmis24,
author={Viet Nguyen and Vu Bui and Thu Minh Tran Nguyen},
title={A Comprehensive Approach for Graph Data Warehouse Design: A Case Study for Learning Path Recommendation Based on Career Goals},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS},
year={2024},
pages={230-237},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012945100003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS
TI - A Comprehensive Approach for Graph Data Warehouse Design: A Case Study for Learning Path Recommendation Based on Career Goals
SN - 978-989-758-716-0
AU - Nguyen V.
AU - Bui V.
AU - Minh Tran Nguyen T.
PY - 2024
SP - 230
EP - 237
DO - 10.5220/0012945100003838
PB - SciTePress