Home // International Journal On Advances in Intelligent Systems, volume 9, numbers 3 and 4, 2016 // View article
Authors:
Claus-Peter Rückemann
Keywords: Knowledge Discovery; Association Processing; Scientific Knowledge Resources; Universal Decimal Classification; Advanced Computing.
Abstract:
This paper presents the main research results on a major task for knowledge discovery: The integration of knowledge resources and advanced association processing. The research includes the integration of references to many types of objects and elements, e.g., adding conceptual knowledge via references to a universal classification. Creating sustainable multi- disciplinary knowledge resources and enabling advanced features for processing of associations is one of the major goals of long- term knowledge development and discovery, especially allowing the use of advanced association processing and computation facilities. Research has shown that discovery in geosciences and archaeology widely benefits from a multi-disciplinary approach. The paper also presents respective association processing results exploiting the integration of such geoscientific and archaeological knowledge resources components. The practical application scenario is based on content from a natural sciences and archaeology research and studies campaign at the ancient city of Kameiros, Greece. The created resources are providing content, structures, and features for exploiting computation facilities, especially a multitude of reference types. The focus is to integrate multi-disciplinary knowledge resources and association processing, which allows to extend and exploit long-term content discovery on a data-centric base and gain new insights.
Pages: 485 to 495
Copyright: Copyright (c) to authors, 2016. Used with permission.
Publication date: December 31, 2016
Published in: journal
ISSN: 1942-2679