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VisualIndex - A visualization tool for web-searches

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VisualIndex is a tool to graphically visualize and navigate search results in a particular domain of interest. The method is primarily based on coword analysis on a corpus of documents published in that domain, augmented with domain ontologies. The results are rendered as a connected graph of terms, authors and documents. The graph displays the strength of relationships between these various objects so that the user can quickly navigate through the most relevant terms. The product is still under development but an experimental version is available on request.
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Embedded NLP tools
VisualIndex uses natural language techniques to extract nouns, noun phrases, authors and citations from published documents.
 
Click on the image to see term-relationships for a subset of human genetics publications on PubMed.
 
Highly customizable
You can customize the analysis using your own stop words, abbreviations and other domain specific attributes.
 
 
Built-in graph elements
Support for visualization of basic objects such as terms, keywords, authors and documents is already built-in, and our model allows for extending support for user-defined objects.
 
 
Easy navigation for discovery
Simple and easy tools are provided for navigating the term maps to discover related concepts, people and documents.
 
 
Server edition
Apply VisualIndex to company wide document repsoitories using our server based solution for coporate use.
 
 
Personal edition
Use our personal edition to index your files and folders in your computer.
 
 
Preserve privacy
Share results with others without giving away the original documents.
 
 
Availability
This technology is still under development. If you would like a demo or try out our experimental version (VisualIndex0.6a) please use the contact information to request one. For more information, contact us for our white paper on visual indexing.