FEISI: Towards Enterprise Information Semantic Integration

Abstract

Nowadays, Enterprise Information Semantic Integration (EISI) constitutes a real and growing need for most large enterprises, The main problem of EISI is the heterogeneity problem, especially the semantic integration. Current solutions mainly focus on structural and syntactical integration, and the solutions for semantic integration are still immature. In this paper, we introduce a novel FuseGrid-based EISI architecture named FEISI which can achieve dynamic, adaptive and semantic integration of enterprise information resources by organizing, sharing and fusing the information of enterprise. The key issues of FEISI are ontology building and query rewriting, we analyses the organization of ontology and describes a multi-level tree-based ontology structure for the former, for the latter, we show the key algorithm of FEISI. The aim of our approach is to correctly capture, structure and also to manage the semantics within large, dynamic and multidisciplinary enterprises especially enterprise groups.