Dr. Paul S. Prueitt. Research Professor
The George Washington University
Founder and Director, (1992) BCNGroup.org
During the past six years, I have designed and been part of the implementation of several commercial programs targeted at transferring and integrating data mining and text understanding technologies. The work is at the leading edge in complexity. The software development occurred in environments where knowledge management, emergent computing and decision support systems are buzz words, understood fully by only a few and often leading to confusions. I have developed an awareness of all possible types of information technology implementations with the government.
I have designed and coded systems that use Oracle Image and Full Text cartridges, Oracle ConText, SQL, C++, and C. I use FoxPro in the prototype phase of projects. While in academia, Hampton University and then Georgetown University, I developed collaborative systems on the Next computer and Objective C development environments. I have developed a virtual operating system based on number theory. I am aware of the principles on which .Net is based and understand the architectural issues in which C# and VB for .NET is concerned with.
I have a practical background in knowledge engineering, neural networks, information extraction and retrieval, decision theory, data mining, distributed computing, and human factors design methodologies. I am knowledgeable about process engineering and software life cycle methodologies. These are esoteric subjects, but they help me understand why technology deployments can and do go wrong for any number of reasons. I take a leadership role and manage a team that includes programmers and sales personnel, while developing a clear expectation on the part of clients.
· I am currently the President at Ontologystream Inc, where I have directed work on adaptive technologies and knowledge management for industry clients. In the past fifteen years, my role has often been as software architect and senior scientists. But in these roles I have keenly observed the nature of relationships between sales teams and the clients. I have made an effort over the past three years to break into the capitalization process, but failed. The underlying Ontologystream technology can be explained, but it is quite revolutionary. Perhaps one might understand why OntologyStream has not been capitalized. The investment markets are very conservative. In any case, the larger issues related to transformation of the way things are done are the same global constraints that Industry faces. This discussion can be made over some time, as the issues are not often simple. Making them appear simple is essential.
I have made several fundamental discoveries. Each of these makes database technology more usable, but departing from complicated database management systems like Oracle. My work uses Topic Maps or XML standards while also using hash tables rather than relational tables. A “ontology referential base” or Orb encodes data structure in a data schema independent way. Projections into a specific data schema or as part of a task, such as content presentation are made using a very simple, and fast search mechanism. I discovered a general knowledge acquisition and management data base procedure called the voting procedure. The foundational work for this discovery is published and in the public domain. The voting procedure is based on situational logic and bi-level representation of object invariances in data sets.
A Standard Query Language (SQL) version of the voting procedure was coded while I was Senior Scientist at Highland Technologies. This version is consistent with a neuropsychological view of computational emergence and supports the formation of statistical inference and reinforcement learning. I developed some methods for full text analysis leading to automated taxonomy and ontology constructions.
I have over a decade of experience in the information industry, and am aware of and use standards from the software life cycle methodologies and knowledge engineering methodologies. At Georgetown University (1990-93), I was co-director, with Edward Finn, of the Neural Network Research Facility. I used NextStep Interface Builder and Objective C to design and code a simulation package for research on artificial intelligence and behavioral neurodynamics. I used classes to model concurrent processes, communications between concurrent processes using transputers. I provided consulting directly to several government agencies, including DARPA.
· In 1993, I coordinated the development and submission of several multi-university proposals in support of distributed computer based research and knowledge acquisition systems. Since 1993, there has been continuing discussions regarding a large distributed Center of Excellence dedicated to advancing new work on the computational foundations of machine intelligence, open systems science and human / computer interaction.
· Post Doctoral Research Artificial Intelligence, Georgetown, 1990-93
I have taught approximately 65 courses in elementary mathematics, as well as physics, economics and assisted in teaching a course on neural networks. Topics of special interest include topology, foundations of mathematics, history of mathematics, artificial neural networks, discrete mathematics, business mathematics, statistics and probability.
· Assistant Professor of Mathematics at Hampton University from 1988-1990,
I maintain a web site at www.ontologystream.com