面向企业信息检索的语义扩展查询方法

doi:10.3772/j.issn.1000-0135.2019.07.009

情报学报

2019, Vol. 38

Issue (7): 742-749 DOI: 10.3772/j.issn.1000-0135.2019.07.009

情报分析方法与技术

本期目录 | 过刊浏览 | 高级检索

面向企业信息检索的语义扩展查询方法

耿爽, 杨辰, 牛奔, 蚁文洁, 刘雷

深圳大学管理学院，深圳 518060

A Semantic Query Extension Method for Enterprise Information Retrieval

Geng Shuang, Yang Chen, Niu Ben, Yi Wenjie, and Liu

College of Management, Shenzhen University, Shenzhen 518060

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摘要为了弥补传统的信息检索方法在企业内实施时查准率较低的缺陷，解决监督学习中训练数据短缺的问题，本研究提出了基于企业知识域类别和语义关联的查询词扩展方法。该方法首先利用主题模型对企业文档库进行建模，其次结合专家意见构建企业知识分类及相应的带有权重的类别描述词集，最后利用语义相似度对查询进行分类，在知识域描述词集中选择查询扩展词对查询进行扩展。本研究利用一家电子产品制造公司的真实数据进行实验研究，实验结果表明，扩展后的查询更能准确反映用户的查询要求，有效地提升了企业信息检索的查准率。

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	耿爽
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关键词 ：企业文本检索, 查询扩展, 知识域分类, 查询分类

收稿日期: 2018-01-09

基金资助:国家自然科学基金青年科学基金项目“基于科研社交网络挖掘的专家组合推荐问题的研究”（71701134）；教育部人文社会科学研究基金“基于在线科研社交平台的合作者推荐研究”（16YJC630153）；广东省自然科学基金博士启动项目（2017A030310427）。

作者简介: 耿爽，女，1990年生，博士，主要研究领域为信息检索、推荐系统

引用本文:

耿爽, 杨辰, 牛奔, 蚁文洁, 刘雷. 面向企业信息检索的语义扩展查询方法[J]. 情报学报, 2019, 38(7): 742-749.
Geng Shuang, Yang Chen, Niu Ben, Yi Wenjie, and Liu. A Semantic Query Extension Method for Enterprise Information Retrieval. 情报学报, 2019, 38(7): 742-749.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2019.07.009 或 https://qbxb.istic.ac.cn/CN/Y2019/V38/I7/742

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