Home // INTELLI 2016, The Fifth International Conference on Intelligent Systems and Applications // View article

Semantic Reasoning Method to Troubleshoot in the Industrial Domain

Authors:
Antonio Martín
Mauricio Burbano
Iñigo Monedero
Joaquín Luque
Carlos León

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

Abstract:
Currently industrial information provides even more granular information through unit and equipment databases, which provide details about installed equipment, including models, designed capacity, throughput, and start up/shutdown dates for turbines, generators, refining equipment, etc. All these data and information are stored in digital repositories, digital archives, and business Web sites. Access to these collections poses a serious challenge. 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. The artificial intelligence and Semantic Web provide a common framework that allows knowledge to be shared and reused in an efficient way. In this paper, we propose a comprehensive approach for discovering information objects in large digital repositories based on analysis of recorded semantic metadata and the application of Case Based Reasoning technique. We suggest a conceptual architecture for a semantic search engine. We have developed a prototype, which suggests a new form of interaction between users and digital enterprise repositories, to support efficient share distributed knowledge.

Pages: 88 to 94

Copyright: Copyright (c) IARIA, 2016

Publication date: November 13, 2016

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-518-0

Location: Barcelona, Spain

Dates: from November 13, 2016 to November 17, 2016