This repository provides additional documentation software design, deployment plan and KG-OLAP for KG Lakehouse, a cloud-native lakehouse architecture specifically engineered for providing contextualized knowledge graphs (CKGs) to applications for business analytics and decision support. The system combines the capabilities of data lakes and data warehouses to enable efficient storage, processing, and dynamic construction of CKGs.
- Software Documentation: Detailed specification of the architecture, including microservices design, data ingestion, storage, and dynamic CKG generation.
- Deployment Plan: Overview of the deployment strategy for the proposed architecture, highlighting its modular, scalable, and resilient cloud-native design.
- KG-OLAP: Explanation of the Knowledge Graph OLAP approach, including its multidimensional model, operations, and applications in analyzing contextualized knowledge graphs.
KG Lakehouse is designed to address scalability and flexibility challenges in traditional monolithic Knowledge Graph systems by adopting a modular, microservices-based approach. It supports real-time analytics and on-demand construction of contextualized Knowledge Graphs optimized for various use cases.