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

Topic map browser
Graph visualization of a topic map
Treemap visualization of topics
Embedded WWW browser
Build your own interactive visualizations using embedded Processing language.

[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

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

[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

Search topics with regular expressions, find similar topics.
Supports TMQL (Topic Map Query Language).
Wandora specific query language.
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.
R language integration makes Wandora a data source for R environment.

[edit] Export and publish

Wandora can export topic maps in XTM, LTM and JTM format.
Export topic map as a collection of static HTML pages.
Export topic maps as Graph Modeling Language, GraphML, and GraphXML graphs.
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.
Wandora Piccolo combination allows you to set up a large scale dynamic WWW site based on the topic maps.

[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

Wandora Download
View Wandora Screenshots
Browse Wandora's Documentation

@@ Line 1: / Line 1: @@
-Brief introduction to the most interesting features of Wandora:
+This page summarizes perhaps the most fundamental features of Wandora application.
-* Graphical user interface
+== Desktop application ==
-** Topic map browser
-** Extensive collection of tools to manipulate topics and associations
+* Fast and reliable
-* [[Layered Topic Map|Layered representation of knowledge]]
+* Requires Java
-** 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
+== Graphical user interface ==
-** Automatic merging of different and even distributed data sources
-** Protect some parts of topic map by allowing only read access
+* [[Traditional topic panel|Topic map browser]]
-* Several data storage options
+* [[Graph topic panel|Graph visualization of a topic map]]
-** Memory based topic map for very fast processing of relatively small topic maps
+* [[Treemap topic panel|Treemap visualization]] of topics
-** Relational database storage makes it possible to use topic maps of virtually unlimited size
+* [[Webview|Embedded WWW browser]]
-** Relational database storage enables easy usage of remote third party topic maps
+* Build your own interactive visualizations using [[Processing topic panel|embedded Processing language]].
-* Import data in several formats
-** [[How to import existing topic map to Wandora|Imports topic maps in XTM and LTM formats]]
+== [[Introduction to Layered Topic Maps|Layered storage of knowledge]] ==
-** [[Importing RDF(S)|Imports RDF data in RDF(S) and N3 formats]]
-** [[Importing XML with XSL|Imports any valid XML document with proper XSL converting the XML to XTM]]
+* Supports multilayered networks
-** [[Generic SQL database import|Converts and imports any SQL database to a topic map]]
+* Construct the knowledge using several different layers, each containing only part of the knowledge
-** [[Transferring data with clipboard|Clipboard import and export of topics and associations]]
+* You can view only parts of data and hide parts that don't interest you
-* Read metadata from different file types
+* Automatic merging of different and even distributed data sources
-** [[MP3 ID3v1 and ID3v2 extractor|Convert MP3 ID3 metadata to a topic map]]
+* Protect some parts of topic map by allowing only read access
-** [[JPG binary metadata extractor|Convert JPEG metadata to a topic map]]
+* Use nested layer stacks to create tree like layer structures
-** [[PDF extractor|Convert PDF metadata to a topic map]]
-** [[Email extractor|Convert emails and email repositories to a topic map]]
+== Several data storage options ==
-** [[File system extractor|Convert file system structures to a topic map]]
-** [[HTML link extractor|Convert HTML site structure to a topic map]]
+* [[Memory topic map|Memory based topic map]] for very fast processing of relatively small topic maps
-** [[IMDB extractor|Convert IMDB datafiles to a topic map]]
+* [[Database topic map|Database storage]] makes it possible to use topic maps of virtually unlimited size
-** [[FreeDB extractor|Convert freedb database entries to a topic map]]
-** [[MediaWiki extractor|Convert MediaWiki pages to a topic map]]
+== Import data in several formats ==
-** [[Audioscrobber extractors|Convert Last.fm XML feeds to a topic map]]
-* Analyze topic maps
+* [[How to import existing topic map to Wandora|Imports topic maps in XTM, LTM, and JTM formats]]
-** Clustering coefficient for any topic set including average clustering coefficient of a topic map.
+* [[Importing RDF|Imports RDF data in RDF, N3, Turtle and JSON-LD formats]]
-** Topic map diameter and average path length.
+* [[OBO flat file import|Imports OBO flat file format ontologies]] such as [http://www.geneontology.org The Gene Ontology]
-** Topic map connection count and distribution (Topic map degree distribution).
+* [[Importing XML with XSL|Imports any valid XML document with proper XSL converting the XML to XTM]]
-* Tools to publish knowledge
+* [[Transferring data with clipboard|Clipboard import and export of topics and associations]]
-** [[Exporting WWW site|Export the topic map as a collection of static HTML pages]]
-** [[Lucene search index export|Create and export Lucene search index from any topic map]]
+== Extract topic maps from various sources ==
-** [[Setting up Wandora Piccolo server|Set up a dynamic WWW site based on the topic map with Wandora-Piccolo combination]]
-** Download and manage subject locator files
+Over 50 different data format and web service extractors. Including
-** Build your own topic map application using the [[Wandora Web Service]] interface
-* Generate simple topic map graphs.
+* [[MP3 ID3v1 and ID3v2 extractor]]
-** Random graph generator.
+* [[JPG binary metadata extractor]]
-** Fully connected graph generator.
+* [[PDF extractor]]
-** Tree graph generator.
+* [[Email extractor]]
-** Linear list graph generator.
+* [[File system extractor]]
-** Finite group graph generator.
+* [[HTML link extractor]]
-* Plugin architecture makes it easy to add custom functionality
+* [[IMDB extractor]]
-** Tools that process topic map, for example cleaning or reconstructing data
+* [[FreeDB extractor]]
-** Importing data in different formats, for example from existing relational database
+* [[Wikipedia extractor]] and more general [[MediaWiki extractor]]
-** Exporting data in different formats
+* [[Last.fm extractors]]
-** Reading and automatic processing of metadata from a collection of files
+* [[Bibtex extractor]]
-** Customized ways to represent the data in the topic map
+* [[RIS extractor]]
-** Custom publishing methods
+* [[Simple Text Document Extractor]]
+* [[RSS 2.0 Extractor]]
+* [[Atom extractor]]
+* [[Any23 extractor|Any23 integration]]
+* [[Flickr extractors]]
+* [[YouTube extractor]]
+* [[OpenCalais classifier]]
+* [[OpenCyc extractor]]
+* [[Geonames extractors]]
+* [[SKOS RDF extractor]]
+* [[Dublin Core RDF extractor]]
+* [[FOAF RDF extractor]]
+* [[Gellish ontology extractor]]
+* [[Subj3ct record extractor]]
+* [[DBpedia extractor]]
+* [[Facebook Graph extractor]]
+* [[Twitter extractor]]
+* [[SPARQL extractor]]
+And many more...
+== Search and analyze topic maps ==
+* Search topics with regular expressions, [[Finding a topic|find similar topics]].
+* Supports [[TMQL]] (Topic Map Query Language).
+* Wandora specific [[Query language|query language]].
+* [[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 statistics|Topic map connection count and distribution]] (Topic map degree distribution).
+* [[SOM classifier]] to analyze topics with associations.
+* [[R in Wandora|R language integration]] makes Wandora a data source for R environment.
+== Export and publish ==
+* Wandora can export topic maps in XTM, LTM and JTM format.
+* [[Exporting WWW site|Export topic map as a collection of static HTML pages]].
+* Export topic maps as [[Graph Modeling Language export|Graph Modeling Language]], [[GraphML export|GraphML]], and [[GraphXML export|GraphXML]] graphs.
+* [[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 [[Wandora's Joomla Topic Reader|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 Web Service|Wandora's Web Service]].
+** You can also create new output modules to Wandora easily. See chapter '''Setting up new services''' at [[Embedded HTTP server]].
+* [[Setting up Wandora Piccolo server|Wandora Piccolo combination allows you to set up a large scale dynamic WWW site based on the topic maps]].
+== 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|documentation]] for details.
+== 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]]
+* [[L-system generator|Generate topic maps with L-systems]].
+== [[Tool manager|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
+* Wandora [[Download]]
+* View Wandora [[Screenshots]]
+* Browse Wandora's [[Documentation]]
+__NOTOC__