Forum Posts Feed
Outliner to find associations
< Next Topic | Back to topic list | Previous Topic >
Posted by jester1966de
Oct 26, 2009 at 11:12 AM
Hi Sebastien,
perhaps Zulu Pad does what you want? It’s not an outliner in the classic sense but “senses” Links to contents you have already written. Only started to experiment with it myself recently. There’s a free and a pro version. http://www.gersic.com/zulupad/help.html
jester
Posted by Susan Cragin
Oct 26, 2009 at 01:08 PM
(1) There are several Linux applications.
(a) RedNotebook.
RedNotebook, as you type it shows a “cloud” of words and concepts. It initially stores all information in a calendar format, but you can just create a “Category” called “My Novel,” and create sections by chapter, by concept, or whatever else strikes your fancy.
When you are finished, export to html or similar. (This is closest to what you want.)
(b) Basket NotePads—too complicated to explain, but it has a graphical format and uses text boxes.
(2) Linux or Windows
(a) MindRaider http://mindraider.sourceforge.net/
(b) Use a wiki. If you have a list of concepts that you want to use, make them into wikiwords (i.e. throat surgery becomes ThroatSurgery). Wikiwords are easy to find. You can always do a search-and-replace later.
Posted by Eduardo Mauro
Oct 26, 2009 at 03:52 PM
Not all wiki implementations requires words to be in Camel Case. Many use double brackets to mark words, like ConnectedText, WikidPad, etc.
Posted by Alexander Deliyannis
Oct 26, 2009 at 06:46 PM
Susan, thanks for the heads up on RedNotebook and Basket NotePad. I am new to Linux and still on the look out for information management software. These do look interesting.
Posted by shatteredmindofbob
Oct 26, 2009 at 09:42 PM
It suddenly occurs to me, would this just be the kind of functionality found in the WordPress “Related Posts” plug-in?
And then I’m left to wonder, has anyone tried using WordPress as a notes database?
You’ve got categories and tag views, pages and sub-pages, linking, searching and all that fun stuff crammed into a MySQL database