计算机应用与软件2017，Vol.34Issue(12)：71-76,146,7.DOI:10.3969/j.issn.1000-386x.2017.12.014
基于知识抽取的软件问答网站搜索优化设计
OPTIMAL DESIGN ON SOFTWARE Q&A WEBSITE SEARCH BASED ON KNOWLEDGE EXTRACTION
摘要
Abstract
The search mechanism of software Q&A website based on keywords can't help users find answers very well.Numerous returns result in information loss,and users are required to spend extra time filtering out the information they need.In this situation,a method of text topic clustering and multi-faceted techniques is proposed based on text information provided by stack overflow.Knowledge extraction on search results and links helped users understand the topic and direction of the search results.And a visualization model was designed to express knowledge based on force and tree layout.A dynamic interactive visualization tool based on Web was implemented,which basically achieved the goal in solving information loss and helped users to locate the answers to questions.关键词
知识抽取/文本主题聚类/多刻面/可视化/软件问答网站Key words
Knowledge extraction/Text topic clustering/Multi-faceted/Visualization/Software Q&A website分类
信息技术与安全科学引用本文复制引用
梁仁华,彭鑫,Zhenchang Xing,赵文耘..基于知识抽取的软件问答网站搜索优化设计[J].计算机应用与软件,2017,34(12):71-76,146,7.基金项目
国家自然科学基金项目(61370079). （61370079）
