Abstract
The definitive classification of scientific journals depends on their aim and scope details. In this paper, we present an approach to facilitate the journals classification of the DBLP datasets. For the analysis, the DBLP data sets were pre-processed by assigning each journal attributes defined by its topics. It is subsequently shown how theory of formal concept analysis can be applied to analyze the relations between journals and the extracted topics from their aims and scopes. It is shown how this approach can be used to facilitate the classifications of scientific journals.
| Original language | English |
|---|---|
| Title of host publication | DATESO 2011 - Proceedings of the 11th Annual Workshop on Databases, Texts, Specifications and Objects |
| Pages | 132-139 |
| Number of pages | 8 |
| State | Published - 2011 |
| Externally published | Yes |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Volume | 706 |
| ISSN (Print) | 1613-0073 |
ASJC Scopus subject areas
- General Computer Science
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