[Purpose/significance] The uncertainty issue of relevance is important in IR, and is turned into certainty in different IR models. However, semantic uncertainty is common in the search query and documents, and this kind of uncertainty can significantly affect information retrieval in some situations, which needs special methods to process.[Method/process] An information model based on Dempster-Shafer Theory was proposed to represent semantic uncertainty and multi-source evidences including texts, topics and semantic uncertainty. An experiment was conducted to test that model.[Result/conclusion] It is found that evidence interval of Dempster-Shafer Theory can be used to represent semantic uncertainty, and the combining method of multi-evidence is capable to deal with texts, topics and semantic uncertainty.Ideal parameter can be generated from the training to improve retrieval results. This model is inclusive and extensive in theories, and using this model to combine other IR methods needs further research.
Cheng Yuhua
,
Lai Maosheng
. Research on the Information Retrieval Model Based on D-S Theory[J]. Library and Information Service, 2017
, 61(21)
: 5
-12
.
DOI: 10.13266/j.issn.0252-3116.2017.21.001
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