Abstract
Today Digital Bibliographies are a powerful instrument that collects a great amount of data about scientific publications. Digital Bibliographies have been used as basis of many studies focused on the knowledge extraction in databases. Here we present a new methodology for mining knowledge in this field. Our approach aims to apply the potential of social network analysis techniques to accomplish this task, using a network representation of bibliography data. Besides we use some data mining techniques applied on social network representations in order to enrich this new point of view and to evolve our methodology towards a comprehensive local and global bibliography analysis workflow seen as a Knowledge Discovery process.
Original language | English |
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Title of host publication | Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009 |
Pages | 279-283 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2009 |
Externally published | Yes |
Event | 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009 - Athens, Greece Duration: 20 Jul 2009 → 22 Jul 2009 |
Conference
Conference | 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009 |
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Country/Territory | Greece |
City | Athens |
Period | 20/07/09 → 22/07/09 |
Keywords
- Data mining
- Digital bibliography
- Social network