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| 005 | 20240523125541.0 | ||
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| 008 | 180529s2018 nju o 000 0 eng d | ||
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_a577 _223 |
| 049 | _aMAIN | ||
| 100 | 1 |
_aSzoniecky, Samuel, _eauthor. |
|
| 245 | 1 | 0 |
_aEcosystems Knowledge : _bModeling and Analysis Method for Information and Communication / _cSamuel Szoniecky. |
| 264 | 1 |
_aHoboken, NJ : _bJohn Wiley and Sons, Inc. : _bWiley-ISTE, _c2018. |
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| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 |
_aComputer engineering series. Digital tools and uses set ; _vvol. 6 |
|
| 588 | 0 | _aOnline resource; title from PDF title page (EBSCO, viewed May 31, 2018). | |
| 505 | 0 | _aIntro; 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. | |
| 505 | 8 | _a3.2. 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. | |
| 505 | 8 | _aA.1. Project planning the new platformBibliography; Index; End User License Agreement. | |
| 520 | _aTo 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. ' | ||
| 590 |
_aJohn Wiley and Sons _bWiley Online Library: Complete oBooks |
||
| 650 | 0 | _aEcosystem services. | |
| 650 | 0 | _aBiotic communities. | |
| 650 | 0 | _aOntology. | |
| 650 | 0 | _aGraphical modeling (Statistics) | |
| 650 | 6 | _aServices des �ecosyst�emes. | |
| 650 | 6 | _aOntologie. | |
| 650 | 6 | _aMod�eles graphiques (Statistique) | |
| 650 | 7 |
_aontology (metaphysics) _2aat |
|
| 650 | 7 |
_aNATURE _xEcology. _2bisacsh |
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| 650 | 7 |
_aNATURE _xEcosystems & Habitats _xWilderness. _2bisacsh |
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| 650 | 7 |
_aSCIENCE _xEnvironmental Science. _2bisacsh |
|
| 650 | 7 |
_aSCIENCE _xLife Sciences _xEcology. _2bisacsh |
|
| 650 | 7 |
_aBiotic communities _2fast |
|
| 650 | 7 |
_aEcosystem services _2fast |
|
| 650 | 7 |
_aGraphical modeling (Statistics) _2fast |
|
| 650 | 7 |
_aOntology _2fast |
|
| 758 |
_ihas work: _aEcosystems Knowledge (Text) _1https://id.oclc.org/worldcat/entity/E39PCGHXvyjr8DhcvDrqm6BhgX _4https://id.oclc.org/worldcat/ontology/hasWork |
||
| 776 | 0 | 8 |
_iPrint version: _aSzoniecky, Samuel. _tEcosystems Knowledge. _dHoboken, NJ : John Wiley and Sons, Inc. : Wiley-ISTE, 2018 _z1786300648 _z9781786300645 _w(OCoLC)965760657 |
| 830 | 0 |
_aComputer engineering series. _pDigital tools and uses set ; _vvol. 6. |
|
| 856 | 4 | 0 | _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119388777 |
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