Home // GEOProcessing 2017, The Ninth International Conference on Advanced Geographic Information Systems, Applications, and Services // View article
Authors:
Claus-Peter Rückemann
Keywords: Data-centric Knowledge Mining; Knowledge Resources; Integrative Methodology; Universal Decimal Classification; Advanced Computing.
Abstract:
This paper presents a new methodology for advanced knowledge mining, improving complex discovery and decision making results and providing potential for creating new insights. The paper provides the results of the present research and from an implementation and a case study. 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 goal of this research is to create new practical mining procedures, gain insight and further develop available multi-disciplinary knowledge resources.
Pages: 103 to 109
Copyright: Copyright (c) IARIA, 2017
Publication date: March 19, 2017
Published in: conference
ISSN: 2308-393X
ISBN: 978-1-61208-539-5
Location: Nice, France
Dates: from March 19, 2017 to March 23, 2017