ORB Visualization
(soon)
Data Renewal using machine generated Taxonomy
Actionable Intelligence Process Model
Project preliminary to the National Project
The
Procedure for developing subject matter taxonomy
Modification of the subject matter taxonomy
Use of taxonomy as source
for metadata tagging
Use of taxonomy as a retrieval controlled vocabulary
The Project preliminary to the National Project
The OntologyStream Inc research group has the opportunity to demonstrate to the government agency community that Information Production products are now significantly better than was the case even two years ago. We are able to do this through demonstration that a fast, efficient and low cost capability has been productized and is available for review at no cost.
Leading companies like SchemaLogic Inc, Stratify Inc and Entrieva Inc have coupled text-understanding technology with a mature understanding about how to implement knowledge technology within bureaucratic communities of practice. Deploying within these bureaucratic communities means less computer science and more social science. The computer science must be much less expensive and more responsive to the actually needs of the communities. Social scientists must be able to express an awareness of the critical limiting nature of agency bureaucrats, particularly those whose have made careers out of IT procedure processes.
Data Renewal LLP
Data Renewal Inc was formed as a Limited Liability Partnership to bring a small investment ($250,000), four companies and a scientific committee into a partnership to develop a low cost leading edge product that addresses the critical need for subject matter indicator taxonomy (SMIT).
The four companies are Applied Technical System Inc, Instant Index Inc., Text Analysis International Corporation, and OntologyStream Inc. The scientific committee is to be convened by the Behavioral Computational Neuroscience Group (BCNGroup) as consistent with the BCNGroup Charter.
The innovative technologies owned by these companies are to be integrated together into a single Data Renewal Inc product.
The Procedure for developing subject matter taxonomy
A methodology to combines interview and polling with the output of machine algorithms. So we say that there are two processes:
1) A top down process that builds taxonomy based on interviews, polling, and surveys
2) A bottom up process that uses Ontology Referential Base processes to produce maps of the linguistic variation in text expressed by the community.
Modification of the subject matter taxonomy
Use of taxonomy as source for metadata tagging
Use of taxonomy as a retrieval controlled vocabulary