Home // International Journal On Advances in Software, volume 11, numbers 3 and 4, 2018 // View article

Multi-dimensional Context Creation Based on the Methodology of Knowledge Mapping

Authors:
Claus-Peter Rückemann

Keywords: Methodology of Knowledge Mapping; Data-centric Knowledge Mining; Multi-dimensional Context Creation; Spatial Knowledge Mapping Methods; High End Computing based on Knowledge Resources.

Abstract:
The extended research presented in this paper focusses on advanced context creation as practicable in knowledge based disciplines. This extended research presents methods for multi- dimensional context creation based on the new methodology of Knowledge Mapping. The methodology of Knowledge Mapping allows the knowledge based mapping of objects and entities for purpose of context creation. The mapping to new context can improve complex knowledge mining, discovery, and decision making results. The new context increases the potential for creating new insights. The paper presents implemented methods and case studies along with an extended introduction of the new methodology used with advanced knowledge mining and provides the latest results of the present research. The different methodology based knowledge mining method implementations deploy various spatial representations for illustration. All method implementations utilise commonly available unstructured data and create new multi-disciplinary knowledge context. Resulting entities are spatially mapped. The results can be used for further analysis in integration with data and advanced tools, e.g., automated and visual analysis. The methodology can employ integrated knowledge resources and services for mapping support and can be applied to any content from arbitrary disciplines. The results of the mapping to new context can be used for knowledge mining workflows, for gaining new insight, and for creating and further improving long-term knowledge resources. The methodology also supports automated learning processes. This extended research aims on illustrating the flexibility of possible methods for new practical mining procedures and algorithms from the knowledge perspective.

Pages: 286 to 298

Copyright: Copyright (c) to authors, 2018. Used with permission.

Publication date: December 30, 2018

Published in: journal

ISSN: 1942-2628