**4. Intelligent and semantic architecture**

The goal is achieved from a search perspective, with possible intelligent infrastructures to construct decentralized industrial repositories, where no global schema exists. This goal implies the application of CBR technique [24]. The prototype is the main tool to verify that the proposed architecture is an applicable solution, and this work attempts to achieve such verification by documenting in the proposal solution. In order to support the semantic of retrieval knowledge in industrial repositories, we develop a prototype named OntoEnter based on ontologies and expert system technologies. Obviously, our system is a prototype; nevertheless, it gives a good picture of the on-going activities in this new and important field. The architecture of our system is shown in **Figure 2**, which mainly includes three parts: the search engine, ontology knowledge base, and intelligent user interface.

The proposed architecture relies on the approach to efficiently retrieve information through metadata characterization and the inclusion of domain ontology. It involves using ontology as a vocabulary to define complex and multi-relational case structures to support CBR processes. Our system works by comparing objects that can be retrieved through heterogeneous repositories and capturing a semantic view of the independent world of data representation.
