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(to be completed)

 


ThinkMind // International Journal On Advances in Systems and Measurements, volume 9, numbers 3 and 4, 2016 // View article sysmea_v9_n34_2016_12


Knowledge Processing and Advanced Application Scenarios With the Content Factor Method

Authors:
Claus-Peter Rückemann

Keywords: Data-centric Knowledge Processing; Content Factor (CONTFACT) method; Data Rhythm Analysis; Universal Decimal Classification; Advanced Computing.

Abstract:
This paper presents the developments and results on knowledge processing for advanced application scenarios. The processing and discovery is based on the new Content Factor (CONTFACT) methodology used for data description and analysis. The Content Factor method can be applied to arbitrary data and content and it can be adopted for many purposes. Normed factors and variants can also support data analysis and knowledge discovery. This paper presents the algorithm, ntroduces into the norming of Content Factors, and discusses advanced examples, practical case studies, and implementations based on long-term knowledge resources, which are continuously n development. The Content Factor can be used with huge structured and even unstructured data resources, allows an automation, and can therefore also be used for long-term multi- disciplinary knowledge. The methodology is used for advanced processing and also enables methods like data rhythm analysis and characterisation. It can be integrated with complementary methodology, e.g., classification and allows the application of advanced computing methods. The goal of this research is to create new practical processing algorithms based on the general and flexible Content Factor methodology and develop advanced processing components.

Pages: 253 to 265

Copyright: Copyright (c) to authors, 2016. Used with permission.

Publication date: December 31, 2016

Published in: journal

ISSN: 1942-261x

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