Describing Data Patterns: A general deconstruction of metadata standards - Couverture souple

Voss, Jakob

 
9781490931869: Describing Data Patterns: A general deconstruction of metadata standards
Couverture souple
ISBN 10 : 1490931864 ISBN 13 : 9781490931869
Editeur : CreateSpace Independent Publishing Platform, 2013

Synopsis

This book analyzes the methods, technologies, standards, and languages to structure and describe data in their entirety. It reveals common features, hidden assumptions, and ubiquitous patterns among these methods and shows how data are actually structured and described independently from particular trends and technologies.

Examples of data structuring methods analyzed critically include:

  • Encodings (e.g. Unicode)
  • Identifiers and Identifier systems (e.g. ISBN)
  • File systems
  • Database Systems (record databases, relational databases, NoSQL...)
  • Data structuring languages (JSON, XML, CSV, RDF...)
  • markup languages (SGML, HTML, TEI, Markdown...)
  • Schema languages (BNF, XSD, RDFS, OWL, SQL...)
  • Conceptual modeling languages (ERM, ORM, UML, DSL...)
  • Conceptual diagrams

It is shown how particular method of data structuring and description can best be categorized by their primary purpose. The study further exposes five basic paradigms that deeply shape how data is structured and described in practice. The third results is a pattern language of data structuring. Patterns show problems and solutions which occur over and over again in data. Each pattern is described with its benefits, consequences, pitfalls, and relations to other patterns.

The results can help to better understand data and its actual forms, both for consumption and creation of data. Possible applications include data analysis, data modeling, data archaeology, and data literacy.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book analyzes the methods, technologies, standards, and languages to structure and describe data in their entirety. It reveals common features, hidden assumptions, and ubiquitous patterns among these methods and shows how data are actually structured and described independently from particular trends and technologies.

Examples of data structuring methods analyzed critically include:

  • Encodings (e.g. Unicode)
  • Identifiers and Identifier systems (e.g. ISBN)
  • File systems
  • Database Systems (record databases, relational databases, NoSQL...)
  • Data structuring languages (JSON, XML, CSV, RDF...)
  • markup languages (SGML, HTML, TEI, Markdown...)
  • Schema languages (BNF, XSD, RDFS, OWL, SQL...)
  • Conceptual modeling languages (ERM, ORM, UML, DSL...)
  • Conceptual diagrams

It is shown how particular method of data structuring and description can best be categorized by their primary purpose. The study further exposes five basic paradigms that deeply shape how data is structured and described in practice. The third results is a pattern language of data structuring. Patterns show problems and solutions which occur over and over again in data. Each pattern is described with its benefits, consequences, pitfalls, and relations to other patterns.

The results can help to better understand data and its actual forms, both for consumption and creation of data. Possible applications include data analysis, data modeling, data archaeology, and data literacy.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
CreateSpace Independent Publishing Platform
Date d'édition
2013
Langue
anglais
ISBN 10 
1490931864
ISBN 13 
9781490931869
Reliure
Broché
Nombre de pages
284
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
https://www.amazon.fr/hz/contact-us

c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy
Luxembourg
L-1855
Luxembourg