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- 000 01756nam a2200313 i 4500
- 008 190319s2018 njua b 001 0 eng d
- 020 __ |a 9781786300645 |q hbk. : |c CNY1014.62
- 040 __ |a NPU |b eng |c NPU |e rda
- 099 __ |a CAL 022019023491
- 100 1_ |a Szoniecky, Samuel, |e author.
- 245 10 |a Ecosystems knowledge : |b modeling and analysis method for information and communication / |c Samuel Szoniecky.
- 264 _1 |a London, UK : |b ISTE Ltd ; |a Hoboken, NJ, USA : |b John Wiley & Sons, Inc., |c 2018.
- 300 __ |a xii, 219 pages : |b illustrations ; |c 25 cm.
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 490 0_ |a Computer engineering series. Digital tools and uses set ; |v volume 6
- 504 __ |a Includes bibliographical references (pages [201]-215) and index.
- 520 __ |a 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.
- 650 _0 |a Ecosystem |x Knowledge.