检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:赵忠伟[1] 程齐凯[1] ZHAO ZhongWei;CHENG QiKai(School of Information Management, Wuhan University, Wuhan 430072, China)
出 处:《数字图书馆论坛》2017年第6期46-52,共7页Digital Library Forum
基 金:国家自然科学基金面上项目"面向词汇功能的学术文本语义识别与知识图谱构建"(编号:71473183)资助
摘 要:传统学科主题研究主要基于学术文本题录数据,研究对象单一。本文以SIGIR(Special Interest Group on Information Retrieval)邮件列表为切入点分别构建SIGIR邮件列表数据集和同期会议论文数据集,并在两个数据集的基础上对信息检索的主题结构和主题演化进行对比分析。研究发现,信息检索领域存在研究内容不断深入、研究方法不断增多和核心主题逐渐分裂的规律;同时还发现,SIGIR邮件列表研究主题较会议论文而言,在时序上存在一定的"领先性",通过该研究旨在揭示SIGIR邮件列表在信息检索领域的学术价值。Traditional discipline topic research is mainly based on the scholar papers,but the research object is too stereotyped.In this paper,the SIGIR mailing list dataset and the conference paper dataset are constructed with the SIGIR mailing list as the starting point,and the discipline topic structure and discipline topic evolution of information retrieval are compared and analyzed in two datasets respectively.We found that the research content of information retrieval is deepening,and the research methods continue to flourish,and the core research topics are splitting gradually,at the same time,we found that the SIGIR mailing list’s research topics keep ahead than conference papers’.The academic value of the SIGIR mailing list in the discipline topic research is revealed.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.49