DBConnect: Mining Research Community on DBLP Data
- Osmar R. Zaiane, University of Alberta (Database)
- Jiyang Chen
- Randy Goebel
Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden information is implicit within relationships among entities in the data. Social networks are such data collections in which relationships play a vital role in the knowledge these networks can convey. A bibliographic database is an essential tool for the research community, yet finding and making use of relationships comprised within such a social network is difficult. In this paper we introduce DBconnect, a prototype that exploits the social network coded within the DBLP database by drawing on a new random walk approach to reveal interesting knowledge about the research community and even recommend collaborations.
Citation
O. Zaiane, J. Chen, R. Goebel. "DBConnect: Mining Research Community on DBLP Data". Web Mining and Social Network Analysis Workshop, pp 74-81, August 2007.| Keywords: | Machine Learning |
| Category: | In Workshop |
| Web Links: | Webdocs |
BibTeX
@misc{Zaiane+al:07,
author = {Osmar R. Zaiane and Jiyang Chen and Randy Goebel},
title = {DBConnect: Mining Research Community on DBLP Data},
Pages = {74-81},
booktitle = {Web Mining and Social Network Analysis Workshop},
year = 2007,
}Last Updated: February 04, 2020Submitted by Sabina P
