Case Acquisition in Biological Domain Based on Text Mining

doi:10.16183/j.cnki.jsjtu.2018.08.011

Abstract

Abstract: To tackle the problem of knowledge acquisition in biological field related to design problem based on natural language, the vector representation model based on natural language is used and a method of obtaining biological field based on text mining is proposed. Based on the construction of corpus text vector space and knowledge mining, the feature selection, similarity measure and instance retrieval method of biological domain text are studied while the technical support for design demand driven biological field instance acquisition is provided. The results show that, on the one hand, the method of text mining based on the vector space model has a great advantage in both the precision and the recall rate. On the other hand, the text retrieval mechanism based on vector space has good adaptability and expansibility, which can meet the needs of semantic retrieval in different environments.

Key words: text mining, vector space model, feature selection, biologically inspired design, knowledge acquisition

CLC Number:

TP 391

SHEN Jian,HU Jie,MA Jin,QI Jin,ZHU Guoniu,PENG Yinghong. Case Acquisition in Biological Domain Based on Text Mining[J]. Journal of Shanghai Jiao Tong University, 2018, 52(8): 954-960.

References

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