Features
From WandoraWiki
(Difference between revisions)
| Line 17: | Line 17: | ||
** PDF metadata | ** PDF metadata | ||
** Email metadata | ** Email metadata | ||
| + | * Tools to publish knowledge as html pages | ||
* Plugin architecture makes it easy to add custom functionality | * Plugin architecture makes it easy to add custom functionality | ||
** Tools that process topic map, for example cleaning or reconstructing data | ** Tools that process topic map, for example cleaning or reconstructing data | ||
| Line 23: | Line 24: | ||
** Reading and automatic processing of metadata from a collection of files | ** Reading and automatic processing of metadata from a collection of files | ||
** Customized ways to represent the data in the topic map | ** Customized ways to represent the data in the topic map | ||
| + | ** Custom publishing methods | ||
Revision as of 11:13, 7 September 2006
This page collects the most interesting features of Wandora under one page
- Layered representation of knowledge
- You can view only parts of data and hide parts that don't intrest you
- Automatic merging of different data sources
- Protect some parts of topic map by allowing only read access
- Several data storage options
- Memory based topic map for very fast processing of relatively small topic maps
- Relational database storage makes it possible to use topic maps of virtually unlimited size
- Import data in several formats
- Topic maps in XTM and LTM formats
- RDF data in RDF(S) and N3 formats
- Generic SQL database import
- Read metadata from different file types
- MP3 IDv3 metadata
- Adobe Photoshop JPEG metadata
- PDF metadata
- Email metadata
- Tools to publish knowledge as html pages
- 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
