AN ONTOLOGY-BASED DATA HARMONIZATION FRAMEWORK FOR CROSS-CLOUD CRM SYSTEM INTEGRATION

Abstract

The rapid adoption of heterogeneous cloud-based CRM (Customer Relationship Management) systems poses challenges for data interoperability, semantic consistency, and service integration. This study proposes an ontology-based data harmonization framework designed to enable seamless integration across different CRM platforms deployed on multiple clouds. The framework leverages semantic mapping, shared domain ontologies, and API harmonization to achieve cross-platform consistency. The proposed solution facilitates data translation, model unification, and dynamic API alignment, enhancing agility and interoperability in enterprise IT ecosystems.