Hi Mike, the 'dump' version of DBpedia currently does not include code to analyze article history. We usually do not even download the files that include the history of an article, we only us the current version.
I think the 'live' version of DBpedia includes some history data, but I don't know much about that. The guys from Leipzig should be able to help. :-) The parser included in DBpedia tokenizes the source code of a Wikipedia page, but is mostly aimed at structured data and does not analyze the text. If I understand correctly, you need some kind of tool that analyzes the textual differences between article versions and groups users by these differences. I am afraid there is not much that DBpedia can help you with. All, please correct me if I'm wrong. Particularly, DBpedia spotlight analyzes the unstructured text - how about that? Regards, Christopher On Tue, Apr 3, 2012 at 22:20, Mike Dupont <[email protected]> wrote: > Hi there, > > I would like to know about support of edit history in the dbpedia, > that would be a key feature. Specifically I would like to try and partition > a group of user into two parts, ones that introduce a tag/term to an article > and ones who remove it. > I have experimented with using git to analyse the wikihistory but it was > very difficult on the text level. > > I was wondering what support dbpedia would have on such an analysis and at > what detail level. > > Sorry that I have not read the fine docs or searched much, I figured that > asking might provide the best answer anyway. > > thanks, > mike > > -- > James Michael DuPont > Member of Free Libre Open Source Software Kosova http://flossk.org > > ------------------------------------------------------------------------------ > Better than sec? Nothing is better than sec when it comes to > monitoring Big Data applications. Try Boundary one-second > resolution app monitoring today. Free. > http://p.sf.net/sfu/Boundary-dev2dev > _______________________________________________ > Dbpedia-discussion mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion > ------------------------------------------------------------------------------ Better than sec? Nothing is better than sec when it comes to monitoring Big Data applications. Try Boundary one-second resolution app monitoring today. Free. http://p.sf.net/sfu/Boundary-dev2dev _______________________________________________ Dbpedia-discussion mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion
