Author:
Perišić Ana,Perišić Branko
Abstract
The interoperability and integration of heterogeneous systems, with a high degree of autonomy and time-dependent dynamic configuration over multilevel and multidimensional feature space, raise the problem configurations complexity. Due to the emergent nature of a large collection of locally interacting components, the properties and the behavior of a collection may not be fully understood or predicted even the full knowledge of its constituents is available. The simplification is contemporary addressed through either dimensional reduction methods, like Principal Component Analysis (PCA), or overall ontology managing through Physics of Open Systems (POS) paradigm. The question is: Is it possible to cope with the complexity by integrating dimension reduction steps with basic POS concepts on the Large Data Objects (LDOs) holding the structure and behavior of the complex system. The intended mission of this chapter is to formulate a starting System of Systems (SoS) based configurable hyper framework model that may be dynamically improved to better suit the static structure and dynamic behavior of complex SoS configurations. That is the reason why the reflexive integration of POS and different dimensional reduction methods, through an interoperability framework, have been proposed as the main contribution of this research chapter.
Reference36 articles.
1. Gartner Glossary. Available from: https://www.gartner.com [Accessed: January 30, 2022]
2. Guide to the Systems Engineering Body of Knowledge (SEBoK), version 2.5. Available from: https://www.sebokwiki.org/ [Accessed January 30, 2022]
3. Kachanova TL, Fomin BF, Fomin OB. Generating scientifically proven knowledge about ontology of open systems: Multidimensional knowledge-centric system analytics. In: Ontology in Information Science. London: IntechOpen; 2017. DOI: 10.5772/intechopen.72046
4. Carpi A, Anne EE. The Practice of Science: An Introduction to Research Methods. available from: https://www.visionlearning.com/en/library/Process-of-Science/49/The-Practice-of-Science/148 [Accessed: January 30, 2022]
5. Schneegans S, Straza T, Lewis J, editors. UNESCO Science Report: The Race Against Time for Smarter Development. Paris: UNESCO Publishing; 2021
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献