Home // International Journal On Advances in Intelligent Systems, volume 9, numbers 1 and 2, 2016 // View article

Advanced Knowledge Discovery and Computing based on Knowledge Resources, Concordances, and Classification

Authors:
Claus-Peter Rückemann

Keywords: Knowledge Resources; Concordances; Classified Classification; Advanced Computing; Knowledge Discovery.

Abstract:
This article presents an extended research of the main results from creating objects equipped with classifications and concordances as base for advanced discovery, processing, and computing based on knowledge resources. Today big data collections and resources sadly combine one or more deficits of being unclassified, unstructured, isolated, and weakly developed on the one hand and in consequence only accessible with insufficient simplistic means on the other hand. New classification features, structures, and components have been developed, which can be flexibly used with multi-disciplinary, multi-lingual long- term knowledge resources. The extended facilities can be used for universal long-term knowledge resources beyond the simple and isolated use of knowledge and data. The goal of this research is to create advanced resources and methods based on classifications and concordances. The focus is to provide facilities for advanced discovery processes based on universal knowledge resources and showing that content, classification, and concordances are valuable long-term assets.

Pages: 27 to 40

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

Publication date: June 30, 2016

Published in: journal

ISSN: 1942-2679