Extracting method knowledge elements from scientific literature: A rule‐based approach. Issue 1 (18th October 2019)

• Record Type: Journal Article
• Authors: Wang, Zhongyi; Shen, Xueying; Huang, Rong; Huang, Jing
• Is Part Of: Proceedings of the Association for Information Science and Technology. Volume 56:Issue 1(2019)
• Page Start: 805
• Page End: 807
• Publication Date: 2019-10-18
• Subjects: method KEs -- description clues -- automated extraction; Information science -- Congresses; Information technology -- Congresses; Information science; Information technology; Conference papers and proceedings; 020
• DOI: 10.1002/pra2.183
• Languages: English
• ISSNs: 2373-9231

Abstract

ABSTRACT: Knowledge elements are the basic unit of knowledge. Extracting knowledge elements from literatures enables granular knowledge organization and retrieval. This paper proposes a rule‐based framework for extracting method Knowledge Elements (KEs) in scientific literature aiming to improve the accuracy and complete extraction of method KEs. The method is divided into two stages: semi‐automated extraction of initial description rules of method KEs and automated derivation of additional description rules. In a preliminary evaluation on 415 papers, the precision and recall for the method KEs extraction are 0.77 and 0.84, respectively, indicating the effectiveness of our method.