Flexible creation of indicators of scientific and technological emergence: Emerging phenomena and big data
作者
Olga Babko-Malaya,Daniel Hunter,Andy Seidel,Fotis Barlos
标识
DOI:10.1109/isi.2013.6578775
摘要
This paper describes ARBITER, a system for characterizing scientific and technological fields and detecting emergent fields. ARBITER processes large collections of technoscientific publications and patents to extract full-text and metadata features relevant to rich characterizations of emergent fields. The paper describes how ARBITER uses these indicators in a flexible manner to infer a wide variety of patterns of interest using customizable models that capture the user's understanding of what is important in emergence.