Features

Revision as of 10:08, 15 June 2011

This page summarizes perhaps the most fundamental features of Wandora application.

Construct the knowledge using several different layers, each containing only part of the knowledge
You can view only parts of data and hide parts that don't interest you
Automatic merging of different and even distributed data sources
Protect some parts of topic map by allowing only read access
Use nested layer stacks to create tree like layer structures

Memory based topic map for very fast processing of relatively small topic maps
Database storage makes it possible to use topic maps of virtually unlimited size

Over 50 different data format and web service extractors. Including

And many more...

Search topics with regular expressions, find similar topics, and use Wandora's query language to perform more complex searches.
Compare topic maps.
Clustering coefficient for any topic set including average clustering coefficient of a topic map.
Topic map diameter and average path length.
Topic map connection count and distribution (Topic map degree distribution).
SOM classifier to analyze topics with associations.

Embedded HTTP server allows you to publish topic maps as a dynamic HTML site, RSS feed or pretty much anything if you just write suitable templates for your output.
- Included outputs: HTML, RSS instance feed, ATOM topic, Wandora Web Service.
- We have created several Wandora Drupal extras to show you examples how Wandora can be used together with Drupal content management system.
- We have also created an extra for Joomla content management system to demonstrate how to publish Wandora content in Joomla sites.
- Build your own topic map application using Wandora's Web Service.
- You can also create new output modules to Wandora easily. See chapter Setting up new services at Embedded HTTP server.
Export the topic map as a collection of static HTML pages.
Export topic maps as Graph Modeling Language, GraphML, and GraphXML graphs.
Wandora Piccolo combination allows you to set up a large scale dynamic WWW site based on the topic maps.
Create and export Lucene search index from any topic map.
Download subject locator URLs and occurrence URLs.

Tools that process topic map, for example cleaning or reconstructing data
Importing data in different formats, for example from existing relational database
Exporting data in different formats
Reading and automatic processing of metadata from a collection of files
Customized ways to represent the data in the topic map
Custom publishing methods

Wandora Team releases new features frequently. Features under development have been reviewed in wiki page Upcoming features.

Now you might want to continue to

@@ Line 22: / Line 22: @@
 * [[Memory topic map|Memory based topic map]] for very fast processing of relatively small topic maps
-* [[Database topic map|Relational database storage]] makes it possible to use topic maps of virtually unlimited size
+* [[Database topic map|Database storage]] makes it possible to use topic maps of virtually unlimited size
 == Import data in several formats ==