计算机工程与应用 ›› 2014, Vol. 50 ›› Issue (13): 127-132.

• 数据库、数据挖掘、机器学习 • 上一篇    下一篇

教学资源概念查询扩展研究

张兰芳,年  梅   

  1. 新疆师范大学 网络信息安全与舆情分析重点实验室,乌鲁木齐 830054
  • 出版日期:2014-07-01 发布日期:2015-05-12

Teaching resources concept query research

ZHANG Lanfang, NIAN Mei   

  1. Network Information Security and Public Opinion Analysis Laboratory, Xinjiang Normal University, Urumqi 830054, China
  • Online:2014-07-01 Published:2015-05-12

摘要: 查询扩展是在原查询词的基础上加入与用户查询词相关的词或者词组,组成新的、更准确的查询序列,使扩展后的查询序列能更清晰地表达用户的查询请求,克服自然语言的“二义性”。基于《计算机网络》概念语义网络能更加有效地找出计算机网络领域内查询词的概念词及扩展概念词,并向上拓展将各个查询词的原始语义关系联接起来,解决了查询词之间缺乏联系的问题,为扩展检索的实现奠定基础。描述了概念语义网络的生成方法、关联概念树的抽取方法和查询扩展检索的计算机实现流程,为教学资源领域的在线学习提供了技术支持。

关键词: 查询扩展, 检索, 概念语义网络, 《计算机网络》

Abstract: Query expansion is adding word related words or phrases with the user query based on the original query. So that the expanded query sequence can more clearly express the user’s query, to overcome the natural language of the “ambiguity”. Based on Computer Network concept semantic networks, it can effectively find the query concept words and extended concept words in the field of computer network. Expand upward, it can connect all the original query semantic relationships of words, solving the problem of lack of contact between the query words, laid the foundation for the realization of expansion retrieval. This paper describes a method to create a concept semantic network, extraction method of correlation concept tree and a computer-implemented retrieval query expansion process. It provides technical support for the field of online learning teaching resources.

Key words: query expansion, retrieval, concept semantic networks, Computer Network