TY  - BOOK
AU  - Szoniecky,Samuel
TI  - Ecosystems Knowledge: Modeling and Analysis Method for Information and Communication 
T2  - Computer engineering series. Digital tools and uses set
SN  - 9781119388784
AV  - QH541.15.E267 
U1  - 577 23
PY  - 2018///
CY  - Hoboken, NJ
PB  - John Wiley and Sons, Inc., Wiley-ISTE
KW  - Ecosystem services
KW  - Biotic communities
KW  - Ontology
KW  - Graphical modeling (Statistics)
KW  - Services des �ecosyst�emes
KW  - Ontologie
KW  - Mod�eles graphiques (Statistique)
KW  - ontology (metaphysics)
KW  - aat
KW  - NATURE
KW  - Ecology
KW  - bisacsh
KW  - Ecosystems & Habitats
KW  - Wilderness
KW  - SCIENCE
KW  - Environmental Science
KW  - Life Sciences
KW  - fast
N1  - Intro; Table of Contents; Introduction; 1 Use of the Ecosystem Concept on the Web; 1.1. For marketing; 1.2. For personal data; 1.3. For services and applications; 1.4. For dynamic interactivity; 1.5. For pictorial analogies; 1.6. For the information and communication sciences; 2 Ecosystem Modeling: A Generic Method of Analysis; 2.1. Hypertextual gardening fertilized by the chaos of John Cage; 2.2. An entrepreneurial experience; 2.3. The maturation of a research project; 3 Fundamental Principles for Modeling an Existence; 3.1. Key concepts for thinking about knowledge ecosystems; 3.2. Spinozist principles for an ethical ontology3.3. Semantic knowledge management; 4 Graphical Specifications for Modeling Existences; 4.1. Principles of graphical modeling; 4.2. Semantic maps; 4.3. Graphical modeling rules; 5 Web Platform Specifications for Knowledge Ecosystems; 5.1. The generic management of resources; 5.2. Principles for developing a Web ecosystem platform; Conclusion; C.1. Experiments: digital humanities and e-Education; C.2. Theoretical fields to whet the appetite; C.3. Scientific practices between calculable facts and sensible intuition; Appendix; A.1. Project planning the new platformBibliography; Index; End User License Agreement
N2  - To analyze complex situations we use everyday analogies that allow us to invest in an unknown domain knowledge we have acquired in a known field. In this work the author proposes a modeling and analysis method that uses the analogy of the ecosystem to embrace the complexity of an area of knowledge. After a history of the ecosystem concept and these derivatives (nature, ecology, environment) from antiquity to the present, the analysis method based on the modeling of socio-semantic ontologies is presented, followed by practical examples of this approach in the areas of software development, digital humanities, Big Data, and more generally in the area of complex analysis. '
UR  - https://onlinelibrary.wiley.com/doi/book/10.1002/9781119388777
ER  -