rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Ecosystems Knowledge
    sub title: Modeling and Analysis Method for Information and Communication
  name:
    name part: Szoniecky, Samuel
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  origin info:
    place:
      place term: nju
    date issued: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: 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. '
  table of 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.
  table of contents: 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.
  table of contents: A.1. Project planning the new platformBibliography; Index; End User License Agreement.
  note: Samuel Szoniecky.
  subject:
    topic: Ecosystem services
  subject:
    topic: Biotic communities
  subject:
    topic: Ontology
  subject:
    topic: Graphical modeling (Statistics)
  classification: QH541.15.E267 S96 2018
  classification: 577
  related item:
    title info:
      title: Ecosystems Knowledge
    name:
      name part: Szoniecky, Samuel.
    origin info:
      publisher: Hoboken, NJ : John Wiley and Sons, Inc. : Wiley-ISTE, 2018
  related item:
    title info:
      title: Computer engineering series. vol. 6
      part name: Digital tools and uses set
  identifier: 9781119388784
  identifier: 1119388783
  identifier: 9781119388777
  identifier: 1119388775
  identifier: 9781786300645
  identifier: 1786300648
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 180529
    record change date: 20260214215151.1
    record identifier: in00004685963
    language of cataloging:
      language term: eng