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Supercomputing for Archaeological and Geoscientific Information Systems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Rückemann, Claus-Peter Westfälische |
| Copyright Year | 2013 |
| 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. Keywords–Integrated Systems; Scientific Supercomputing; Sustainability; Knowledge Resources; Information Systems; UDC; Archaeology; Geosciences; High Performance Computing. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.thinkmind.org/download.php?articleid=infocomp_2013_3_20_10034 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
