Features

Revision as of 15:06, 25 October 2008

Desktop Application

• Fast and reliable
• Requires Java 1.6
• Graphical user interface
• Web browser like look & feel - Topic map browser
• Graph visualizations of topic maps
• Extensive collection of tools to manipulate topics and associations

Layered representation of knowledge

• 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 intrest 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

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
• Relational database storage enables easy usage of remote third party topic maps

Import data in several formats

• Imports topic maps in XTM and LTM formats
• Imports RDF data in RDF(S) and N3 formats
• Imports OBO flat file format ontologies such as The Gene Ontology
• Imports any valid XML document with proper XSL converting the XML to XTM
• Converts and imports any SQL database to a topic map
• Clipboard import and export of topics and associations

Extract topic maps from various different sources

• Plugin to extract directly from Firefox WWW browser and Thunderbird email client.
  • Note some extractors described below doesn't work with Firefox plugin.
• Convert MP3 ID3 metadata to a topic map
• Convert JPEG metadata to a topic map
• Convert PDF metadata to a topic map
• Convert emails and email repositories to a topic map
• Convert file system structures to a topic map
• Convert HTML site structure to a topic map
• Convert IMDB datafiles to a topic map
• Convert freedb database entries to a topic map
• Wikipedia extractor and more general MediaWiki extractor
• Convert Last.fm XML feeds to a topic map
• Convert BibTeX files to a topic map
• Convert RIS files to a topic map
• Convert simple HTML tables to topic map associations
  • HTML property table extractor
  • HTML association table extractor
• Convert simple HTML lists to topic maps
  • HTML superclass-subclass list extractor
  • HTML instance list extractor
• Convert simple text documents to topic map occurrences
• Convert RSS 2.0 feeds to topic maps
• Microformat extractors
  • Convert geo microformat snippets to topic maps
  • Convert adr microformat snippets to topic maps
  • Convert hcalendar microformat snippets to topic maps
  • Convert hcard microformat snippets to topic maps
• Extract topic maps from Flickr
• Extract topic maps from YouTube
• Extract topic maps from Digg
• Extract topic maps from Del.icio.us
• OpenCalais classifier
• OpenCyc extractor

Analyze topic maps

• 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.

Publish knowledge

• Export the topic map as a collection of static HTML pages
• Embedded HTTP server allows you to publish topic maps as a dynamic HTML site.
• 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 and manage subject locator files
• Build your own topic map application using Wandora's SOAP Web Service
• Export topic maps as Graph Modeling Language, GraphML, and GraphXML graphs.

Generate simple topic map graphs

• Random graph generator
• Fully connected graph generator
• Tree graph generator
• Linear list graph generator
• Finite group graph generator
• Platonic solid graph generator
• Hypercube graph generator
• Tiling graph generator
• Edge generator

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

Upcoming features

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