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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.
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Click on the image to see
term-relationships for a subset of human genetics publications on
PubMed. |
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| Highly customizable | You can customize the analysis using
your own stop words, abbreviations and other domain specific
attributes.
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| 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. |
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| Easy navigation for discovery | Simple and easy tools are provided
for navigating the term maps to discover related concepts, people and
documents. |
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| Server edition | Apply VisualIndex to company wide document
repsoitories using our server based solution for coporate use.
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| Personal edition | Use our personal edition to index your
files and folders in your computer.
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| Preserve privacy | Share results with others without
giving away the original documents.
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| 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.
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