Expertise Mining from Scientific Literature

被引：0

作者：

Buitelaar, Paul ^{[1
]}

Eigner, Thomas ^{[1
]}

机构：

[1] Natl Univ Ireland, DERI, Galway, Ireland

来源：

K-CAP'09: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON KNOWLEDGE CAPTURE | 2009年

关键词：

information extraction; text mining; science text; expertise;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We describe an approach to pattern-based expertise topic extraction from publicly available scientific publications using Google Scholar. The approach is based on the observation that in the scientific text genre expertise topics will occur frequently in the context of particular phrasings that introduce them, such as 'method for', 'approach to', etc. The extracted knowledge can be used to analyze research structure in terms of expertise topics, researchers associated with these and relations between them.

引用

页码：171 / 172

页数：2