The Study on Bayesian Network-Based IETM Information Retrieval Technology

Jia Ju Wu; Ze You Pan; Yong Kang Xu; Rong Yu

doi:10.4028/www.scientific.net/AMR.846-847.1180

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847The Study on Bayesian Network-Based IETM...

The Study on Bayesian Network-Based IETM Information Retrieval Technology

Abstract:

IETM has been an important role in equipment integrated support. IETM works mainly through the guidance of the equipment maintenance support information retrieval. So, IETM information retrieval technology is one of the key technologies in the application of integrated equipment support. This paper proposes a new method of IETM information query based on Bayesian network model. The model supports for the IETM information of structured query. IETM information query is based features, the use the IETM dataset words, the elements and structure of unit stats information on the topology of the model structure and the conditional probability learning. Combination of the probability functions of the method and using the model of the probabilistic inference process, the relevance structured IETM information query conditions were estimated. Finally, the information retrieval process is analyzed.

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Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

1180-1184

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.1180

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Online since:

November 2013

Authors:

Jia Ju Wu*, Ze You Pan, Yong Kang Xu, Rong Yu

Keywords:

Bayesian Network (BN), IETM Information Retrieval, Probability Function, Structured Query

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