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

By: Szoniecky, Samuel [author.].
Contributor(s): IEEE Xplore (Online Service) [distributor.] | Wiley [publisher.].
Material type: materialTypeLabelBookSeries: Computer engineering seriesDigital tools and uses set: vol. 6.Publisher: Hoboken, New Jersey : John Wiley and Sons, Inc. : Wiley-ISTE, 2018Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2018]Description: 1 PDF (240 pages).Content type: text Media type: electronic Carrier type: online resourceISBN: 9781119388777.Subject(s): Ecosystem services | Biotic communities | Ontology | Graphical modeling (Statistics) | Biotic communities | Ecosystem services | Graphical modeling (Statistics) | OntologyGenre/Form: Electronic books.Additional physical formats: Print version:: Ecosystems Knowledge.DDC classification: 577 Online resources: Abstract with links to resource Also available in print.
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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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.

Restricted to subscribers or individual electronic text purchasers.

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. '

Also available in print.

Mode of access: World Wide Web

Online resource; title from PDF title page (EBSCO, viewed May 31, 2018).

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