Home // International Journal On Advances in Systems and Measurements, volume 11, numbers 1 and 2, 2018 // View article
Authors:
Claus-Peter Rückemann
Keywords: Enhancement of Knowledge Resources; Comparative Analysis; Content Factor; Universal Decimal Classification; Advanced Data-centric Computing.
Abstract:
The research presented in this paper concentrates on the results from creating new advanced methodologies used for enhancing knowledge resources and knowledge mining. Creating and developing advanced knowledge resources and features for mining over long-time periods are challenging tasks, which require the continuous development of advanced complex means. Enhancements have to include semi-manual and automatable implementations from advanced methodologies in order to access the knowledge- and context-related characteristics and context values. This research builds on the practice of creation and development of multi-disciplinary knowledge resources for decades and creating and applying mining and discovery methods. The results on creating means for a comparative analysis of data entities from knowledge resources are used for data analysis and enhancement of complex and increasing multi-disciplinary knowledge resources. Comparing data entities is a most ambitious task for increasingly complex data objects, integrated resources, and relations â“ from the Knowledge Resources, as well as from the computational perspective. The implementation utilises complementary components, which enable to structure and describe complex knowledge and support an advanced analysis. Based on the methodological fundament, the paper presents practical results, delivers and discusses instructive examples from an implementation and case study. For practical reasons with the comparative analysis, the knowledge resources explicitly utilise references to publicly available data resources. The goal of this research is the enhancement of knowledge resources and mining by modular implementations of advanced methodologies, especially method integration for comparative analysis and knowledge mining with information systems and long-term multi-disciplinary knowledge resources.
Pages: 47 to 60
Copyright: Copyright (c) to authors, 2018. Used with permission.
Publication date: June 30, 2018
Published in: journal
ISSN: 1942-261x