Mining Scientific and Technical Literature
Junsheng Zhang, Wen Hua Zeng · Advances in data mining and database management book series · 2019
In this chapter, the authors study text mining technologies such as knowledge extraction and summarization on scientific and technical literature. First, they analyze the needs of scientific information services and intelligence analysis on massive scientific and technical literature. Second, terminology recognition and relation extraction are important tasks of knowledge extraction. Third, they study knowledge extraction based on terminology recognition and relation extraction. Fourth, based on terminology and relational network, they study the text summarization techniques and applications. Last, they give comments on current research and applications on text summarization and give their viewpoints for the possible research directions in the future.