Features
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| − | == Desktop | + | This page summarizes perhaps the most fundamental features of Wandora application. |
| + | |||
| + | == Desktop application == | ||
| + | |||
* Fast and reliable | * Fast and reliable | ||
| − | * Requires Java | + | * Requires Java |
| − | + | ||
| − | * | + | == Graphical user interface == |
| − | * Graph | + | |
| − | * | + | * [[Traditional topic panel|Topic map browser]] |
| + | * [[Graph topic panel|Graph visualization of a topic map]] | ||
| + | * [[Treemap topic panel|Treemap visualization]] of topics | ||
| + | * [[Webview|Embedded WWW browser]] | ||
| + | * Build your own interactive visualizations using [[Processing topic panel|embedded Processing language]]. | ||
| + | |||
| + | == [[Introduction to Layered Topic Maps|Layered storage of knowledge]] == | ||
| − | + | * Supports multilayered networks | |
* Construct the knowledge using several different layers, each containing only part of the 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 | + | * You can view only parts of data and hide parts that don't interest you |
* Automatic merging of different and even distributed data sources | * Automatic merging of different and even distributed data sources | ||
* Protect some parts of topic map by allowing only read access | * Protect some parts of topic map by allowing only read access | ||
| Line 15: | Line 24: | ||
== Several data storage options == | == Several data storage options == | ||
| + | |||
* [[Memory topic map|Memory based topic map]] for very fast processing of relatively small topic maps | * [[Memory topic map|Memory based topic map]] for very fast processing of relatively small topic maps | ||
| − | * [[Database topic map| | + | * [[Database topic map|Database storage]] makes it possible to use topic maps of virtually unlimited size |
| − | + | ||
== Import data in several formats == | == Import data in several formats == | ||
| + | |||
* [[How to import existing topic map to Wandora|Imports topic maps in XTM, LTM, and JTM formats]] | * [[How to import existing topic map to Wandora|Imports topic maps in XTM, LTM, and JTM formats]] | ||
| − | * [[Importing RDF | + | * [[Importing RDF|Imports RDF data in RDF, N3, Turtle and JSON-LD formats]] |
| − | * [[OBO flat file import|Imports OBO flat file format ontologies]] such as [http://www.geneontology.org The Gene Ontology] | + | * [[OBO flat file import|Imports OBO flat file format ontologies]] such as [http://www.geneontology.org The Gene Ontology] |
* [[Importing XML with XSL|Imports any valid XML document with proper XSL converting the XML to XTM]] | * [[Importing XML with XSL|Imports any valid XML document with proper XSL converting the XML to XTM]] | ||
| − | |||
* [[Transferring data with clipboard|Clipboard import and export of topics and associations]] | * [[Transferring data with clipboard|Clipboard import and export of topics and associations]] | ||
| − | == Extract topic maps from various | + | == Extract topic maps from various sources == |
| − | + | Over 50 different data format and web service extractors. Including | |
| − | + | ||
| − | * [[MP3 ID3v1 and ID3v2 extractor | + | * [[MP3 ID3v1 and ID3v2 extractor]] |
| − | * [[JPG binary metadata extractor | + | * [[JPG binary metadata extractor]] |
| − | * [[PDF extractor | + | * [[PDF extractor]] |
| − | * [[Email extractor | + | * [[Email extractor]] |
| − | * [[File system extractor | + | * [[File system extractor]] |
| − | * [[HTML link extractor | + | * [[HTML link extractor]] |
| − | * [[IMDB extractor | + | * [[IMDB extractor]] |
| − | * [[FreeDB extractor | + | * [[FreeDB extractor]] |
* [[Wikipedia extractor]] and more general [[MediaWiki extractor]] | * [[Wikipedia extractor]] and more general [[MediaWiki extractor]] | ||
| − | * [[Last.fm extractors | + | * [[Last.fm extractors]] |
| − | * [[Bibtex extractor | + | * [[Bibtex extractor]] |
| − | * [[RIS | + | * [[RIS extractor]] |
| − | + | * [[Simple Text Document Extractor]] | |
| − | + | * [[RSS 2.0 Extractor]] | |
| − | + | * [[Atom extractor]] | |
| − | + | * [[Any23 extractor|Any23 integration]] | |
| − | + | * [[Flickr extractors]] | |
| − | + | * [[YouTube extractor]] | |
| − | * [[Simple Text Document Extractor | + | |
| − | * [[RSS 2.0 Extractor | + | |
| − | * [[Atom extractor | + | |
| − | + | ||
| − | + | ||
| − | + | ||
| − | + | ||
| − | + | ||
| − | * [[Flickr | + | |
| − | + | ||
| − | * [[YouTube extractor | + | |
| − | + | ||
| − | + | ||
* [[OpenCalais classifier]] | * [[OpenCalais classifier]] | ||
| − | |||
* [[OpenCyc extractor]] | * [[OpenCyc extractor]] | ||
* [[Geonames extractors]] | * [[Geonames extractors]] | ||
| − | |||
| − | |||
* [[SKOS RDF extractor]] | * [[SKOS RDF extractor]] | ||
* [[Dublin Core RDF extractor]] | * [[Dublin Core RDF extractor]] | ||
| Line 73: | Line 66: | ||
* [[Gellish ontology extractor]] | * [[Gellish ontology extractor]] | ||
* [[Subj3ct record extractor]] | * [[Subj3ct record extractor]] | ||
| − | |||
| − | |||
* [[DBpedia extractor]] | * [[DBpedia extractor]] | ||
| + | * [[Facebook Graph extractor]] | ||
| + | * [[Twitter extractor]] | ||
| + | * [[SPARQL extractor]] | ||
| + | |||
| + | And many more... | ||
== Search and analyze topic maps == | == Search and analyze topic maps == | ||
| − | * Search topics with regular expressions, [[Finding a topic|find similar topics]] | + | |
| + | * 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]]. | * [[Compare topic maps]]. | ||
* [[Clustering coefficient]] for any topic set including average clustering coefficient of a topic map. | * [[Clustering coefficient]] for any topic set including average clustering coefficient of a topic map. | ||
| Line 84: | Line 83: | ||
* [[Topic map connection statistics|Topic map connection count and distribution]] (Topic map degree distribution). | * [[Topic map connection statistics|Topic map connection count and distribution]] (Topic map degree distribution). | ||
* [[SOM classifier]] to analyze topics with associations. | * [[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. | * [[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. | ** 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 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]]. |
| − | * [[Setting up Wandora Piccolo server|Wandora Piccolo combination allows you to set up a large scale dynamic WWW site based on the topic maps]] | + | ** 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 == | == Generate simple topic map graphs == | ||
| + | |||
* [[Random graph generator]] | * [[Random graph generator]] | ||
* [[Fully connected graph generator]] | * [[Fully connected graph generator]] | ||
| Line 108: | Line 115: | ||
* [[L-system generator|Generate topic maps with L-systems]]. | * [[L-system generator|Generate topic maps with L-systems]]. | ||
| − | == Plugin architecture makes it easy to add custom functionality == | + | == [[Tool manager|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 | ||
* Importing data in different formats, for example from existing relational database | * Importing data in different formats, for example from existing relational database | ||
| Line 116: | Line 124: | ||
* Custom publishing methods | * Custom publishing methods | ||
| − | |||
| − | Wandora | + | |
| + | Now you might want to continue to | ||
| + | * Wandora [[Download]] | ||
| + | * View Wandora [[Screenshots]] | ||
| + | * Browse Wandora's [[Documentation]] | ||
__NOTOC__ | __NOTOC__ | ||
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
- Imports topic maps in XTM, LTM, and JTM formats
- Imports RDF data in RDF, N3, Turtle and JSON-LD 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
- Clipboard import and export of topics and associations
[edit] Extract topic maps from various sources
Over 50 different data format and web service extractors. Including
- MP3 ID3v1 and ID3v2 extractor
- JPG binary metadata extractor
- PDF extractor
- Email extractor
- File system extractor
- HTML link extractor
- IMDB extractor
- FreeDB extractor
- Wikipedia extractor and more general MediaWiki extractor
- Last.fm extractors
- Bibtex extractor
- RIS extractor
- Simple Text Document Extractor
- RSS 2.0 Extractor
- Atom 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...
[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
- 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
- Generate topic maps with L-systems.
[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
