 |
 |
You might want to check out the BASE system from Bielefeld, Germany (http://www.base-search.net), which have access to a lot of OA sources, and implemented an classification system (metadata+fulltext) for DDC themselves on a semi-automatic generated training corpus across all disciplines (might also be useful as a benchmark). They reported last year, that ~1,4% of their OA metadata had manually assigned subject classification on it . Regards, Rene Am 29.06.2012 um 15:29 schrieb Arash.Joorabchi: > Hi all, > > > > I am working on developing a software system designed to analyze the > content of research documents (e.g., research papers, articles, etc.) > archived in scientific repositories (e.g., http://citeseerx.ist.psu.edu > <http://citeseerx.ist.psu.edu/> , http://arxiv.org/ ) and automatically > classify them according to FAST and DDC. In order to objectively qualify > the performance of the system, a collection of research documents which > have been manually classified according to the DDC and been assigned > FAST subject heading would be required. I was wondering if anyone is > aware of such dataset existing online. > > > > Regards, > > Arash