Thanks for all the advice folks, this gives me a lot to look into. You all
have certainly made me table MySQL, so now to look into PostgreSQL, Solr,
XTF, and some of these other technologies to see what would be the best
fit. It is always so helpful pinging this group as you all have so many
On Sat, Apr 16, 2016 at 6:09 AM, Jean-Claude Dauphin <[log in to unmask]>
> Hi Matt,
> You may wish to give a try to J-ISIS
> With J-ISIS, you can create a searchable database with a couple of clicks.
> It uses Berkeley Database as persistence manager and Lucene for indexing
> and searching.
> The user can concentrate on the domain and to what he want to achieve. No
> need to be an expert in relational dabases and SQL. Furthermore, you get
> suggestions of term indexed when making a particular query.
> Web-JISIS is a web application prototype that allows to browse and search
> J-ISIS databases.
> I can help if you need.
> Best wishes,
> On Sat, Apr 16, 2016 at 2:07 AM, Matt Sherman <[log in to unmask]>
> > Well, we've got one volume done, with about 1,250 bibliographies, but
> > are 3 other volumes to convert. So at the end of the day probably about
> > 5,000 entries. Though the how is to make it intractable via the web and
> > hopefully letting scholars in the field continue to add to the database
> > once it is online.
> > On Fri, Apr 15, 2016 at 7:38 PM, Kyle Banerjee <[log in to unmask]>
> > wrote:
> > > On Fri, Apr 15, 2016 at 11:53 AM, Roy Tennant <[log in to unmask]>
> > > wrote:
> > >
> > > > In my experience, for a number of use cases, including possibly this
> > one,
> > > > a database is overkill. Often, flat files in a directory system
> > > by
> > > > something like Solr is plenty and you avoid the inevitable headaches
> > > > being a database administrator. Backup, for example, is a snap and
> > easily
> > > > automated.
> > > >
> > >
> > > I'm with Roy -- no need to use a chain saw to cut butter.
> > >
> > > Out of curiosity, since the use case is an annotated bibliography, how
> > much
> > > stuff do you have? If you have only a few thousand entries in delimited
> > > text, flat files could be easier and more effective than other options.
> > >
> > > kyle
> > >
> Jean-Claude Dauphin
> [log in to unmask]