Features
From WandoraWiki
(Difference between revisions)
| Line 1: | Line 1: | ||
Brief introduction to the most interesting features of Wandora: | Brief introduction to the most interesting features of Wandora: | ||
| − | + | == Desktop Application == | |
| − | + | * Fast and reliable | |
| − | + | * Requires Java 1.6 | |
* Graphical user interface | * 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 Topic Map|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 == | |
| − | + | * [[How to import existing topic map to Wandora|Imports topic maps in XTM and LTM formats]] | |
| − | + | * [[Importing RDF(S)|Imports RDF data in RDF(S) and N3 formats]] | |
| − | + | * [[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]] | |
| − | + | * [[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]] | |
| − | + | ||
| − | + | == Extract topic maps from various different sources == | |
| − | + | * [[MP3 ID3v1 and ID3v2 extractor|Convert MP3 ID3 metadata to a topic map]] | |
| − | + | * [[JPG binary metadata extractor|Convert JPEG metadata to a topic map]] | |
| − | + | * [[PDF extractor|Convert PDF metadata to a topic map]] | |
| − | + | * [[Email extractor|Convert emails and email repositories to a topic map]] | |
| − | + | * [[File system extractor|Convert file system structures to a topic map]] | |
| − | + | * [[HTML link extractor|Convert HTML site structure to a topic map]] | |
| − | + | * [[IMDB extractor|Convert IMDB datafiles to a topic map]] | |
| − | + | * [[FreeDB extractor|Convert freedb database entries to a topic map]] | |
| − | + | * [[MediaWiki extractor|Convert MediaWiki pages to a topic map]] | |
| − | + | * [[Audioscrobber extractors|Convert Last.fm XML feeds to a topic map]] | |
| − | + | * [[Bibtex extractor|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]] | |
| − | + | * [[Simple Text Document Extractor|Convert simple text documents to topic map occurrences]] | |
| − | + | * [[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 == | |
| − | + | * [[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). | |
| − | + | ||
| − | + | == Tools to publish knowledge == | |
| − | + | * [[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]] | |
| − | + | * [[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 | |
| − | + | * Build your own topic map application using [[Wandora Web Service|Wandora's SOAP Web Service]] | |
| − | + | ||
| − | + | == 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]] | |
| + | |||
| + | == 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 | ||
Revision as of 12:44, 11 April 2008
Brief introduction to the most interesting features of Wandora:
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
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
- 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
- Convert simple HTML lists to topic maps
- 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
- 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).
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
- Random graph generator
- Fully connected graph generator
- Tree graph generator
- Linear list graph generator
- Finite group graph generator
- Platonic solid graph 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
