Home // International Journal On Advances in Intelligent Systems, volume 10, numbers 3 and 4, 2017 // View article

Creating New Views and Insights by Computing Spatial Cogwheel Modules for Knowledge Integration

Authors:
Claus-Peter Rückemann

Keywords: Knowledge-based Views and Insights; Cogwheel Modules Methodology; Data-centric Knowledge Mining; Universal Decimal Classification; Advanced Computing.

Abstract:
This paper presents the research and implementation of applying the new methodology Cogwheel Modules for creating new views and insights from knowledge integration. The target is advanced knowledge mining, e.g., complex discovery, and decision making. The paper provides both results of the present research of the methodology and an implementation, including a case study on different views and possible insight from an application in the spatial domain. The implementation includes modules required for a complete workflow as well as generators for creating results, specifying spatial data and content. The case study utilises topics, techniques, and data from geosciences, archaeology and multi-disciplinary context. The methodology is using integrated knowledge resources for complex knowledge mining by creating workflows applying specialised tools. The resulting methodology can be applied with any disciplines and with combinations of general, as well as specialised tools. The results of the knowledge mining can be used for gaining insight and creating automated learning processes, especially with long-term knowledge resources, which are continuously in development. The method can be used for practical mining procedures to gain insight as well as further develop available multi-disciplinary knowledge resources. The goal of this research is to create new views and insights from the available knowledge resources.

Pages: 314 to 326

Copyright: Copyright (c) to authors, 2017. Used with permission.

Publication date: December 31, 2017

Published in: journal

ISSN: 1942-2679