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Comparative Analysis of Data Entities: Knowledge Mining Objects

Authors:
Claus-Peter Rückemann

Keywords: Knowledge Mining; Comparative Analysis; Content Factor; Universal Decimal Classification; Advanced Data-centric Computing.

Abstract:
This paper presents the research and results on creating means for a comparative analysis of data entities from knowledge resources. The research was started in order to tackle the challenges of data analysis with increasing and complex resources. Comparing data entities is a most ambitious task for increasingly complex data objects, integrated resources, and relations - 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. The paper presents practical examples and discusses the high level view of an implementation and case study. For practical reasons with the comparative analysis, the knowledge resources utilise references to publicly available data resources. The goal of this research is an advanced methodology and modular means for comparative analysis and knowledge mining with information systems and long-term multi-disciplinary knowledge resources.

Pages: 17 to 23

Copyright: Copyright (c) IARIA, 2017

Publication date: June 25, 2017

Published in: conference

ISSN: 2308-3484

ISBN: 978-1-61208-567-8

Location: Venice, Italy

Dates: from June 25, 2017 to June 29, 2017