ArnetMiner
Tsinghua University · IBM Research (China)
Abstract
This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting researcher profiles automatically from the Web; 2) Integrating the publication data into the network from existing digital libraries; 3) Modeling the entire academic network; and 4) Providing search services for the academic network. So far, 448,470 researcher profiles have been extracted using a unified tagging approach. We integrate publications from online Web databases and propose a probabilistic framework to deal with the name ambiguity problem. Furthermore, we propose a unified modeling approach to simultaneously model topical…
Citation impact
- FWCI
- 91.04
- Percentile
- 100%
- References
- 34
Authors
6Topics & keywords
- Computer science
- Ambiguity
- Key (lock)
- Digital library
- Probabilistic logic
- World Wide Web
- Information retrieval
- Data science