Principles of superordinate knowledge: Separation of methodology, implementation, and realisation

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Authors

  • Claus Peter Rückemann

Research Organisations

External Research Organisations

  • University of Münster
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Details

Original languageEnglish
Title of host publicationInternational Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2018)
EditorsTheodore Simos, Charalampos Tsitouras
ISBN (electronic)9780735418547
Publication statusPublished - 24 Jul 2019
EventICNAAM 2018, 16th International Conference on Numerical Analysis and Applied Mathematics - Rhodes, Greece
Duration: 13 Sept 2018 → 18 Sept 2018
Conference number: 16

Publication series

NameAIP Conference Proceedings
Volume2116
ISSN (Print)0094-243X
ISSN (electronic)1551-7616

Abstract

The research conducted in many national and international projects over the last decades is characterised by the need for integration of achievements from a wide spectrum of scientific disciplines and practical applications. This paper introduces to the Principles of Superordinate Knowledge and separation of methodology, implementation, and realisation. The research is illustrated by results from practical solutions based on the Knowledge Mapping methodology. The goal of this research is to establish a fundament for the creation and development of advanced knowledge based approaches, which include long-term multi-disciplinary knowledge resources and implementations for management and computing. Superordinate Knowledge fosters the primacy of methodology among implementation and realisation. In consequence, the methodological approach allows to efficiently integrate methods, implementations, and realisations in order to create sustainable long-term scientific and practical solutions.

Keywords

    Implementation, Knowledge Mapping Methodology, Methodology, Realisation, Superordinate Knowledge

ASJC Scopus subject areas

Cite this

Principles of superordinate knowledge: Separation of methodology, implementation, and realisation. / Rückemann, Claus Peter.
International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2018). ed. / Theodore Simos; Charalampos Tsitouras. 2019. 050002 (AIP Conference Proceedings; Vol. 2116).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Rückemann, CP 2019, Principles of superordinate knowledge: Separation of methodology, implementation, and realisation. in T Simos & C Tsitouras (eds), International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2018)., 050002, AIP Conference Proceedings, vol. 2116, ICNAAM 2018, 16th International Conference on Numerical Analysis and Applied Mathematics, Rhodes, Greece, 13 Sept 2018. https://doi.org/10.1063/1.5114033
Rückemann, C. P. (2019). Principles of superordinate knowledge: Separation of methodology, implementation, and realisation. In T. Simos, & C. Tsitouras (Eds.), International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2018) Article 050002 (AIP Conference Proceedings; Vol. 2116). https://doi.org/10.1063/1.5114033
Rückemann CP. Principles of superordinate knowledge: Separation of methodology, implementation, and realisation. In Simos T, Tsitouras C, editors, International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2018). 2019. 050002. (AIP Conference Proceedings). doi: 10.1063/1.5114033
Rückemann, Claus Peter. / Principles of superordinate knowledge : Separation of methodology, implementation, and realisation. International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2018). editor / Theodore Simos ; Charalampos Tsitouras. 2019. (AIP Conference Proceedings).
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abstract = "The research conducted in many national and international projects over the last decades is characterised by the need for integration of achievements from a wide spectrum of scientific disciplines and practical applications. This paper introduces to the Principles of Superordinate Knowledge and separation of methodology, implementation, and realisation. The research is illustrated by results from practical solutions based on the Knowledge Mapping methodology. The goal of this research is to establish a fundament for the creation and development of advanced knowledge based approaches, which include long-term multi-disciplinary knowledge resources and implementations for management and computing. Superordinate Knowledge fosters the primacy of methodology among implementation and realisation. In consequence, the methodological approach allows to efficiently integrate methods, implementations, and realisations in order to create sustainable long-term scientific and practical solutions.",
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note = "Funding Information: I am grateful to the “Knowledge in Motion” (KiM) long-term project, Unabh{\"a}ngiges Deutsches Institut f{\"u}r Multi-disziplin{\"a}re Forschung (DIMF), for partially funding this research, implementation, and publication under grant D2017F1P04812 and to its senior scientific members, especially to Dr. Friedrich H{\"u}lsmann, Gottfried Wilhelm Leibniz Bibliothek (GWLB) Hannover, to Dipl.-Biol. Birgit Gersbeck-Schierholz, Leibniz Universit{\"a}t Hannover, to Dipl.-Ing. Martin Hofmeister, Hannover, and to Olaf Lau, Hannover, Germany, for fruitful discussion, practical multidisciplinary case studies, and analysis of advanced concepts. We are grateful to Dipl.-Ing. Hans-G{\"u}nther M{\"u}ller, Cray, for his work and support providing practical private cloud and storage solutions and excellent technical support. Many thanks go to the committee members and participants of INFOCOMP and GEOProcessing, to my postgraduate students in the EULISP Programme at IRI Hannover and to the scientific members of ZIV, SHPSC, and HLRN for discussion and case study contributions. // Grant D2017F1P04812, PI: Claus-Peter R{\"u}ckemann; General Chair of the INFOCOMP and GEOProcessing conferences; Chair of the Board on Advanced Computing and Emerging Technologies and Chair of the Symposia Board, International Academy, Research, and Industry Association; Advisory Chair; Director of the GEXI Consortium; Head of research of the LX Foundation; WWU M{\"u}nster; Senior Lecturer for Information Science, Security, and Computing at the Leibniz Universit{\"a}t Hannover, Germany; IARIA Fellow.; ICNAAM 2018, 16th International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018 ; Conference date: 13-09-2018 Through 18-09-2018",
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