Home // International Journal On Advances in Intelligent Systems, volume 10, numbers 3 and 4, 2017 // View article

Intelligent Agents to Efficient Management Industrial Services and Resources

Authors:
Antonio Martin-Montes
Mauricio Burbano
Carlos Leon

Keywords: Case base Reasoning; Ontology; jColibri; Semantic Interoperability; Artificial Intelligence.

Abstract:
Increasing product and process complexity combined with rapidly changing markets and dynamic competition are daily challenges faced by industries. Current industrial platforms need to evolve in order to support different advanced capabilities including semantic interoperability, self-optimization between edge and cloud, sensor fusion and processing, and edge-aware stream processing, among others. Companies can benefit greatly from of Internet of Things as a tool for finding growth in unexpected opportunities. In this area an enormous quantity of heterogeneous and distributed information is stored in databases, web sites and digital storehouses. In the traditional search engines, the information stored in Digital Industry Repository (DIR) is treated as an ordinary database that manages the contents and positions. The present search techniques based on manually annotated metadata and linear replay of the material selected by the user do not scale effectively or efficiently to large collections. This can significantly reduce the accuracy of the search and draw in irrelevant documents. This paper describes semantic interoperability problems and presents an intelligent architecture to address them. We concentrate on the critical issue of metadata/ontology-based search and expert system technologies. Our approach for realizing content-based search and retrieval information implies the application of the Case-Based Reasoning technology and ontologies. The objective here is thus to contribute to a better knowledge retrieval in the industrial domain. We have developed a prototype, which suggests a new form of interaction between users and digital enterprise repositories, to support efficient sharing of distributed knowledge.

Pages: 167 to 178

Copyright: Copyright (c) to authors, 2017. Used with permission.

Publication date: December 31, 2017

Published in: journal

ISSN: 1942-2679