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Sustainable Knowledge Resources Supporting Scientific Supercomputing for Archaeological and Geoscientific Information Systems

Authors:
Claus-Peter Rückemann

Keywords: Integrated Systems; Scientific Supercomputing; Sustainability; Knowledge Resources; Information Systems; UDC; Archaeology; Geosciences; High Performance Computing.

Abstract:
This paper presents the results from an implementation of long-term sustainable knowledge resources, which can be used for documentation, classification, and structuring as well as with scientific supercomputing resources for advanced information systems. The paper discusses the current implementation of information structures and object representations used with universal classification and computation algorithms for multi-disciplinary, dynamical knowledge discovery. It discusses practical examples from archaeology and geosciences disciplines, relying on the content, structure, and classification from the knowledge resources used with various case studies. The combination of universal knowledge resources and computational workflows based on High End Computing (HEC) resources and Universal Decimal Classification (UDC) allows for the goal of successful creation of long-term sustainable Integrated Information and Computing System components.

Pages: 55 to 60

Copyright: Copyright (c) IARIA, 2013

Publication date: November 17, 2013

Published in: conference

ISSN: 2308-3484

ISBN: 978-1-61208-310-0

Location: Lisbon, Portugal

Dates: from November 17, 2013 to November 21, 2013