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BL
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| Record Number
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840271
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| Main Entry
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Szoniecky, Samuel
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| Title & Author
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Ecosystems Knowledge : : Modeling and Analysis Method for Information and Communication /\ Samuel Szoniecky.
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| Publication Statement
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Hoboken, NJ :: John Wiley and Sons, Inc. :: Wiley-ISTE,, 2018.
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| Series Statement
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Computer engineering series. Digital tools and uses set ;; vol. 6
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| Page. NO
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1 online resource
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| ISBN
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1119388775
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: 1119388783
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: 9781119388777
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: 9781119388784
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1786300648
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9781786300645
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| Contents
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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.
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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.
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A.1. Project planning the new platformBibliography; Index; End User License Agreement.
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| Abstract
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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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| Subject
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Biotic communities.
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Ecosystem services.
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Graphical modeling (Statistics)
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Ontology.
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Biotic communities.
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Ecosystem services.
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Graphical modeling (Statistics)
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NATURE-- Ecology.
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NATURE-- Ecosystems Habitats-- Wilderness.
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Ontology.
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SCIENCE-- Environmental Science.
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| Subject
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SCIENCE-- Life Sciences-- Ecology.
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| Dewey Classification
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577
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| LC Classification
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QH541.15.E267
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