Mapping Subsets of Scholarly Information
信息检索
2009-11-10 v1 机器学习
摘要
We illustrate the use of machine learning techniques to analyze, structure, maintain, and evolve a large online corpus of academic literature. An emerging field of research can be identified as part of an existing corpus, permitting the implementation of a more coherent community structure for its practitioners.
引用
@article{arxiv.cs/0312018,
title = {Mapping Subsets of Scholarly Information},
author = {Paul Ginsparg and Paul Houle and Thorsten Joachims and Jae-Hoon Sul},
journal= {arXiv preprint arXiv:cs/0312018},
year = {2009}
}
备注
10 pages, 4 figures, presented at Arthur M. Sackler Colloquium on "Mapping Knowledge Domains", 9--11 May 2003, Beckman Center, Irvine, CA, proceedings to appear in PNAS