**Intelligent Knowledge Retrieval from Industrial Repositories Repositories**

**Intelligent Knowledge Retrieval from Industrial** 

DOI: 10.5772/intechopen.70724

Antonio Martin, Mauricio Burbano and Carlos León Carlos León

Additional information is available at the end of the chapter Additional information is available at the end of the chapter

Antonio Martin, Mauricio Burbano and

http://dx.doi.org/10.5772/intechopen.70724

### **Abstract**

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emj.2008.06.006

120 Knowledge Management Strategies and Applications

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Actually, a large amount of information is stored in the industrial repositories. Accessing this information is complicated, and the techniques currently used in metadata and the material chosen by the user do not scale efficiently in large collections. The semantic Web provides a frame of reference that allows sharing and reusing knowledge efficiently. In our work, we present a focus for discovering information in digital repositories based on the application of expert system technologies, and we show a conceptual architecture for a semantic search engine. We used case-based reasoning methodology to create a prototype that supports efficient retrieval knowledge from digital repositories. OntoEnter is a collaborative effort that proposes a new form of interaction between users and digital enterprise repositories, where the latter are adapted to users and their surroundings.

**Keywords:** artificial intelligence, ontology, semantic web, experts systems, CBR, interoperability
