科技查新项目新颖性判断的文献学术特征组合模型  

Literature Academic Characters Combination Model in Judging Novelty of Sci-tech Project Retrieval

作　　者：周新跃[1] 

机构地区：[1]湖南农业大学图书馆

出　　处：《图书馆杂志》2018年第1期84-92,共9页Library Journal

基　　金：湖南省科技厅2014年科学研究项目"专家知识服务关键模型建立与关键技术集成的研究"(项目编号:2014FJ3114)的研究成果之一

摘　　要：为了揭示文献学术特征与科技查新项目新颖性判断之间的关系,随机抽取54篇农学专业文献和5个农学类课题,由10位查新员分别给出文献与查新课题的学术特征相似性以及文献与查新课题的相关性评分,根据评分结果,抽取密切相关文献并作出查新课题相对于文献的新颖性评分,共计900组数据。采用多元回归的方法,研究了学术文献的研究对象、研究内容、研究方法、研究结果的学术特征四要素对科技查新项目新颖性的影响,发现三种不同类型的相关性,得出了一组多元回归模型,进行了检验和分析。In order to discover the relationship between literature academic characters and the novelty of sci-tech project retrieval, this paper studied the dependence influence between the project novelty of scitech novelty retrieval and the four key academic characters, namely, object, content, method and result. The multiple-regression analysis method, 54 agronomy articles, and five agronomy projects randomly selected were used in this paper. The academic character similarity and correlation of sci-tech novelty retrieval project in those articles was respectively evaluated and scored by 10 professional novelty researchers. According to the results of the grading score, articles closely related were extracted. A total of 900 sets of data were obtained, and three different types of correlations were found, leading to a multiple regression combination model that was tested and verified afterwards.

关 键 词：文献学术特征 科技查新 新颖性 多元线性回归 区间估计 

分 类 号：G252.62[文化科学—图书馆学]