BUILDING AND QUERYING AN ENTERPRISE KNOWLEDGE GRAPH

Abstract

The rapid growth of data in modern enterprises necessitates efficient methods to integrate, manage, and extract meaningful insights from heterogeneous sources. Traditional relational databases often struggle to represent complex relationships among diverse entities such as products, customers, employees, and transactions. This project addresses these challenges by developing an enterprise knowledge graph using Java, enabling semantic integration and flexible querying of organizational data. A knowledge graph represents data as a network of interconnected entities and relationships, providing a richer and more intuitive way to model enterprise information. By adopting standards such as RDF (Resource Description Framework) and OWL (Web Ontology Language), the project establishes a formal ontology that captures the semantics of the enterprise domain. This ontology serves as the backbone for organizing data, ensuring consistency and interoperability.