摘要
[目的／意义]从科技论文中自动识别与抽取研究设计指纹，能够为科研人员项目设计、研究方法的有效性评估、研究过程问题诊断、研究结果鉴别与评价提供重要的方法论和研究操作支撑。[方法／过程]基于科技论文研究设计指纹的概念模型，提出基于多规则模式混合机器学习方法，设计并实现指纹识别算法，并以数据挖掘领域的期刊文献数据为例，对识别算法的可行性与有效性进行分析验证。[结果／结论]除研究数据与研究趋势外，其他研究设计指纹识别准确率的认可度都基本达到80％以上，覆盖率的认可度，除研究工具与研究数据外，基本达到80％以上。
[ Purpose/significance] Automatic identification and extraction of research design fingerprint lrom scien- tific papers is at）le to provide researchers with significant methodology and research support for project design, validity e- valuation of research methods, problem diagnosis of research process and identification and evaluation of research results. [ Method/process]The paper, based on the concept model of research design fingerprint in scientific papers, proposes amulti-rule hybrid machine learning methods to design and implement the fingerprint identification algorithm model and an- alyze and verify＂ the feasibility and validity of the methodby sample data in the field of datamining. [ Result/conclusion] The results show that in addition to the research data and l^search trends, the recognition accuracy of other research design fin- gerprint is almost 80%. And the acceptance of coverage, in addition to research tools and research data, is almost 80%.
出处
《图书情报工作》
CSSCI
北大核心
2018年第2期135-143,共9页
Library and Information Service
基金
中国科学院文献情报能力建设专项“科技论文的研究设计指纹自动语义标注工具研发”(项目编号:院1658)研究成果之一
关键词
研究设计指纹
语义标注知识抽取
机器学习
research design fingerprint semantic annotation knowledge extraction machine learning
