Features
From WandoraWiki
(Difference between revisions)
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** [[Generic SQL database import|Converts and imports any SQL database to a topic map]] | ** [[Generic SQL database import|Converts and imports any SQL database to a topic map]] | ||
** [[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 different sources |
** [[MP3 ID3v1 and ID3v2 extractor|Convert MP3 ID3 metadata to a topic map]] | ** [[MP3 ID3v1 and ID3v2 extractor|Convert MP3 ID3 metadata to a topic map]] | ||
** [[JPG binary metadata extractor|Convert JPEG metadata to a topic map]] | ** [[JPG binary metadata extractor|Convert JPEG metadata to a topic map]] | ||
| Line 36: | Line 36: | ||
** [[Audioscrobber extractors|Convert Last.fm XML feeds to a topic map]] | ** [[Audioscrobber extractors|Convert Last.fm XML feeds to a topic map]] | ||
** [[Bibtex extractor|Convert BibTeX files to a topic map]] | ** [[Bibtex extractor|Convert BibTeX files to a topic map]] | ||
| − | ** [[Property Table Extractor | + | ** 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]] | ||
** [[Simple Text Document Extractor|Convert simple text documents to topic map occurrences]] | ** [[Simple Text Document Extractor|Convert simple text documents to topic map occurrences]] | ||
** [[RSS 2.0 Extractor|Convert RSS 2.0 feeds to topic maps]] | ** [[RSS 2.0 Extractor|Convert RSS 2.0 feeds to topic maps]] | ||
| + | ** [[Geo Microformat Extractor|Convert geo microformat snippets to topic maps]] | ||
| + | ** [[Adr Microformat Extractor|Convert adr microformat snippets to topic maps]] | ||
| + | ** [[HCalendar Microformat Extractor|Convert hcalendar microformat snippets to topic maps]] | ||
| + | ** [[HCard Microformat Extractor|Convert hcard microformat snippets to topic maps]] | ||
* Analyze topic maps | * Analyze 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. | ||
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** [[Linear list graph generator]] | ** [[Linear list graph generator]] | ||
** [[Finite group graph generator]] | ** [[Finite group graph generator]] | ||
| + | ** [[Platonic solid graph generator]] | ||
* 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 | ||
Revision as of 17:51, 22 January 2008
Brief introduction to the most interesting features of Wandora:
- Desktop Application
- Fast and reliable
- Requires Java
- 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
- 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 v1.2 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
- 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
- Convert MediaWiki pages to a topic map
- Convert Last.fm XML feeds to a topic map
- Convert BibTeX 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
- 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
- Analyze 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).
- Tools to publish knowledge
- Export the topic map as a collection of static HTML pages
- Create and export Lucene search index from any topic map
- Set up a dynamic WWW site based on the topic map with Wandora-Piccolo combination
- Download and manage subject locator files
- Build your own topic map application using Wandora's SOAP Web Service
- Generate simple topic map graphs.
- 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
