Abstract | ||
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The issue that many authors share the same name results in many problems for paper search and the study of the Scientists Collaboration Network. In this paper, we study the problem of name ambiguities towards author-based search, propose a framework on same name disambiguation towards literatures searching, and propose a method to classify author-based searching results based on researchers of the real world. The experimental results show the effectiveness of the methods we proposed. |
Year | DOI | Venue |
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2014 | 10.1109/WISA.2014.16 | IEEE WISA |
Keywords | Field | DocType |
same name disambiguation,classification,digital libraries,literature,author-based search,author search,scientists collaboration network,groupware,query formulation,literature search,collaboration,clustering algorithms | Information retrieval,Computer science,Cluster analysis,Name disambiguation | Conference |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pengfei Lei | 1 | 0 | 0.68 |
Yukun Li | 2 | 28 | 8.43 |
Pengcheng Tian | 3 | 0 | 0.34 |
Li Li | 4 | 76 | 24.03 |
Dexin Zhao | 5 | 114 | 11.27 |