Abstract
For the problem of vagueness and ambiguity of the user query words in natural language which leads to low efficiency of retrieval, firstly this paper proposes the query expansion method based on domain ontology, secondly presents the Bayesian network retrieval model based on query expansion, and gives the inference process of the model. Experiments show that the Bayesian network retrieval model based on query expansion can effectively improve the retrieval efficiency.
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Zhao, S., Wu, HX., Lin, YM. (2012). Research on Bayesian Network Retrieval Model Based on Query Expansion. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2012. Communications in Computer and Information Science, vol 315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34240-0_38
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DOI: https://doi.org/10.1007/978-3-642-34240-0_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34239-4
Online ISBN: 978-3-642-34240-0
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