Home // International Journal On Advances in Intelligent Systems, volume 7, numbers 3 and 4, 2014 // View article
Authors:
Claus-Peter Rückemann
Keywords: Knowledge Resources; Computational views; Multi-disciplinary documentation; Advanced Computing; Sustainability; Information Systems; Classification; UDC; Natural Sciences.
Abstract:
Creating and deploying long-term knowledge resources requires research on content as well as on application side. This paper presents the results on high-end structure and classification, being the base for an improved long-term documentation and providing advanced computational views. Content and application context cover factual, conceptual, procedural, and metacognitive knowledge. The core elements are multi-disciplinary knowledge objects, which carry attributes allowing for the creation of various dimensions inside the knowledge resources. The attributes are accompanied by references to flexible multi-lingual universal classifications. The discussion presents the fundamental results having contributed to the knowledge resources. The organisational structure of the knowledge resources supports Big Data integration by a sustainable knowledge definition. The outcome are multi-disciplinary knowledge bases linked with any context, which have led to generate knowledge matrices and which can be used to create computational views. The case studies implemented content and structure as well as workflows for creating knowledge matrices. The implementation deploys dynamical, interactive, and batch computing and storage resources in an Integrated Information and Computing System environment exploiting High End Computing (HEC) and High Performance Computing (HPC) resources and references to the Universal Decimal Classification (UDC). The paper discusses the new practical results from the accompanying long-term projects and implementation.
Pages: 385 to 401
Copyright: Copyright (c) to authors, 2014. Used with permission.
Publication date: December 30, 2014
Published in: journal
ISSN: 1942-2679