ORB Visualization
(soon)
1/25/2004 9:26 PM
After the first stage of implementing ORBs into Groove is complete, the second stage is to further bring the SLIP browsers (cA/eC technology) across to the Groove environment, and integrated with the ORBs.
Since the cA/eC technology is already written in Visual Basic (VB), they should be easily moved across to the Groove environment. Further, the I-RIB techniques already implemented in this technology can be extended into the ORB technology to satisfy storage issues previously discussed regarding the ORB results.
Once this integration of the technologies is complete, the result would be a seamless combination of the power of ORB harvesting and neighborhood identification, with that of the cA/eC technology and related efficiencies/visualizations etc..
Once familiar with both technologies, one can see the points of connection for this integration;
1) Harvesting
1.1) Neighborhoods directly fed to existing SLIP technology
1.2) Use of I-RIB encoding translates to having results already existing in a SLIP processable format
2) Visualization
2.1) SLIP Visualizations and categorization methods can be directly used on the ORB neighborhoods through the integrated SLIP software
2.2) All SLIP methods and functions included
3) Concept Identification
3.1) Visualizations will be programmed to be "flaggable" as "concept of interest" (reification)
3.2) These concepts of interest will be set aside as the set of significant concepts
3.3) The identified concepts can be used as a controlled vocabulary upon which to index the entire space on
4) Conceptual Searching
4.1) Data read from identified significant concepts used to create neighborhood visualizations and search engine (similar to demonstrated neighborhood searches used with InstantIndex), to search on index created from controlled vocabulary
Secondary programs and modules can be further developed as needed to use these concepts of interest and the SLIP visualizations for taxonomy generation and visualization, as well as any other domain specific requirements of the data.
Thus no data export/imports required, creating an easy to use streamlined system. Such integration allows for lower cost of maintenance and lower training expenses etc..
We need a VERY SMALL investment to go to the next step.....
http://www.bcngroup.org/python3/ten.htm