Features

From WandoraWiki
(Difference between revisions)
Jump to: navigation, search
(Search and analyze topic maps)
(Upcoming features)
 
Line 124: Line 124:
 
* Custom publishing methods
 
* Custom publishing methods
  
== Upcoming features ==
 
 
Wandora Team releases new features frequently. Features under development have been reviewed in wiki page [[Upcoming features]].
 
  
  

Latest revision as of 14:43, 31 July 2015

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

[edit] Desktop application

  • Fast and reliable
  • Requires Java

[edit] Graphical user interface

[edit] Layered storage of knowledge

  • Supports multilayered networks
  • 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

[edit] Several data storage options

[edit] Import data in several formats

[edit] Extract topic maps from various sources

Over 50 different data format and web service extractors. Including

And many more...

[edit] Search and analyze topic maps

[edit] Export and publish

[edit] Edit topic maps

Wandora contains a huge collection of topic map editing features. You can not only edit topics and associations directly but also transform topic's internal structures -- such as occurrences to other structures -- such as variant names. You can also choose to apply editing feature to not just one topic but a collection of topics which speeds up topic map refactoring substantially. See Wandora's documentation for details.

[edit] Generate simple topic map graphs

[edit] Plugin architecture makes it easy to add custom functionality

  • 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


Now you might want to continue to


Personal tools