摘要
为帮助用户在执行探索式搜索时发现领域内重要、有价值的概念,同时了解概念所处的问题角度进而全面理解目标领域,以建模概念的实际使用情况为基础,分析确定概念的重要度及问题角度对概念重要度的影响,提出了支持用户多角度概念发现方法。该方法考虑了概念的重要性及概念所处问题角度之间的交互影响,实现了对影响概念发现两方面因素的同步分析。实验表明,相比直接搜索,该方法减少了48.8%的搜索交互次数,并提升了24.3%的概念出现数量。
In order to help exploratory search users discover important and valuable concepts for domains, and understand aspects of the concepts and comprehensively understand the problem domains, based on a concept usage model, concept importance and how problem aspects affect concept importance are analyzed to attain a method supporting muhi-aspected concept discovery. Such a method considers mutual affects between concept importance and problem aspects of concepts, leading to a simultaneous analysis on the two factors. Experimental results show that the proposed method could reduce search interactions by 48.8% and could improve concept occurrences by 24.3%.
出处
《吉林大学学报（信息科学版）》
CAS
2015年第1期72-78,共7页
Journal of Jilin University（Information Science Edition）
基金
国家自然科学基金资助项目(61100090)
中央高校基本科研业务费专项基金资助项目(N120304002)
沈阳市科学技术计划基金资助项目(F11-264-1-33)
关键词
探索式搜索
概念发现
排序聚类
概念重要度
exploratory search
concept discovery
rank cluster
concept importance
