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Ecosystems Knowledge : Modeling and Analysis Method for Information and Communication / Samuel Szoniecky.

By: Material type: TextSeries: Computer engineering series. Digital tools and uses set ; ; vol. 6.Publisher: Hoboken, NJ : John Wiley and Sons, Inc. : Wiley-ISTE, 2018Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119388784
  • 1119388783
  • 9781119388777
  • 1119388775
Subject(s): Additional physical formats: Print version:: Ecosystems Knowledge.DDC classification:
  • 577 23
LOC classification:
  • QH541.15.E267
Online resources:
Contents:
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.
Summary: 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. '
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Online resource; title from PDF title page (EBSCO, viewed May 31, 2018).

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.

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. '

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