Details

Ecosystems Knowledge


Ecosystems Knowledge

Modeling and Analysis Method for Information and Communication
1. Aufl.

von: Samuel Szoniecky

139,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 25.05.2018
ISBN/EAN: 9781119388791
Sprache: englisch
Anzahl Seiten: 240

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Beschreibungen

<p>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.</p>
<p>Introduction ix</p> <p><b>Chapter 1. Use of the Ecosystem Concept on the Web 1</b></p> <p>1.1. For marketing 2</p> <p>1.2. For personal data 4</p> <p>1.3. For services and applications 5</p> <p>1.4. For dynamic interactivity 7</p> <p>1.5. For pictorial analogies 8</p> <p>1.6. For the information and communication sciences 12</p> <p><b>Chapter 2. Ecosystem Modeling: A Generic Method of Analysis 15</b></p> <p>2.1. Hypertextual gardening fertilized by the chaos of John Cage 16</p> <p>2.2. An entrepreneurial experience 17</p> <p>2.2.1. Objectives 18</p> <p>2.2.2. Principle of the game 18</p> <p>2.2.3. Motivations 19</p> <p>2.2.3.1. Why model a cognitive ecology? 19</p> <p>2.2.3.2. The relevance of the garden analogy 20</p> <p>2.2.4. Strategic interests and potential benefits 23</p> <p>2.3. The maturation of a research project 24</p> <p>2.3.1. Evaluating index activity 24</p> <p>2.3.2. Folksonomies explorer 28</p> <p>2.3.3. Tweet Palette: Semantic mapping 34</p> <p><b>Chapter 3. Fundamental Principles for Modeling an Existence 41</b></p> <p>3.1. Key concepts for thinking about knowledge ecosystems 42</p> <p>3.1.1. The noosphere 42</p> <p>3.1.2. Enaction 44</p> <p>3.1.3. Complexity 45</p> <p>3.1.4. Trajective reason 46</p> <p>3.1.5. Agency 47</p> <p>3.2. Spinozist principles for an ethical ontology 48</p> <p>3.2.1. Spinoza: ethical ontology 49</p> <p>3.2.2. Limitations of Spinozism 50</p> <p>3.2.3. Three dimensions of existence and three kinds of knowledge 51</p> <p>3.2.4. Spinozist symbol politics 55</p> <p>3.2.5. Spinozist ethics for the Web 57</p> <p>3.2.6. The ontological principles of Descola 58</p> <p>3.2.7. Principles of ontological matrices 59</p> <p>3.2.8. The Web as analogist ontology 63</p> <p>3.2.9. Principles of computer models 67</p> <p>3.2.10. From Zeno to Turing via Spinoza 68</p> <p>3.2.11. The search for the perfect language 74</p> <p>3.3. Semantic knowledge management 77</p> <p>3.3.1. The boundaries of ontologies 77</p> <p>3.3.2. The semantic sphere IEML 78</p> <p><b>Chapter 4. Graphical Specifications for Modeling Existences 89</b></p> <p>4.1. Principles of graphical modeling 90</p> <p>4.1.1. Unified modeling language 90</p> <p>4.1.2. Graphic partitions and diagrams 92</p> <p>4.1.3. Fixed image versus dynamic diagram 94</p> <p>4.2. Semantic maps 97</p> <p>4.2.1. Maps of physical spaces 97</p> <p>4.2.2. Time maps 99</p> <p>4.2.3. Maps of conceptual spaces 101</p> <p>4.2.4. Interpretation maps 107</p> <p>4.3. Graphical modeling rules 110</p> <p>4.3.1. Physical dimensions 110</p> <p>4.3.2. Actors 111</p> <p>4.3.3. Concepts 111</p> <p>4.3.4. Relations 112</p> <p>4.3.5. Calculating the complexity of an ecosystem 113</p> <p><b>Chapter 5. Web Platform Specifications for Knowledge Ecosystems 117</b></p> <p>5.1. The generic management of resources 119</p> <p>5.1.1. Non-digital resources 119</p> <p>5.1.2. Digital resources 122</p> <p>5.1.3. Management of digital resources 131</p> <p>5.2. Principles for developing a Web ecosystem platform 138</p> <p>5.2.1. Databases as a model of the ecosystem 138</p> <p>5.2.2. Algorithmic platform to manage the ecosystem 153</p> <p>5.2.3. Editorial platform for controlling collaborative practices 157</p> <p>5.2.4. Client applications to explore ecosystem views 162</p> <p>5.2.5. From technical specification to the organization of collective intelligence 171</p> <p>Conclusion 173</p> <p>Appendix 185</p> <p>Bibliography 201</p> <p>Index 217</p>
<strong>Samuel Szoniecky</strong>, Associate Professors at Laboratoire Paragraphe, Université Paris 8, France.

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