作者: Youbing Zhao , Hui Wei , Shaopeng Wu , Farzad Parvinzamir , Zhikun Deng
DOI: 10.1007/978-3-319-62911-7_5
关键词: Weighting 、 Scientific literature 、 tf–idf 、 Computer science 、 Tracing 、 Citation 、 Visualization 、 Information retrieval 、 Sankey diagram 、 Term (time)
摘要: Efficient retrieval of scientific literature related to a certain topic plays key role in research work. While little has been done on topic-enabled citation filtering traditional tracing, this paper presents visual tracing papers with document topics taken into consideration. Improved term selection and weighting are employed for mining the most relevant citations. A variation TF-IDF scheme, which uses external domain resources as references is proposed calculate particular domain. Moreover weight also incorporated calculation from group simple hierarchical word method presented handle keyword phrases. interface designed implemented interactively present tracks chord diagram Sankey diagram.