Linked Data – Design Issues.

Year: 2006
Title: Linked Data – Design Issues.
Abstract: The document outlines the fundamental design principles behind Linked Data on the Web. It proposes a set of rules for how data should be identified, accessed, described, and linked to other resources to enable a global web of data. These ideas became the cornerstone of the Semantic Web and inspired many later frameworks for data and knowledge graph quality.
Objectives: To define the conceptual and technical foundations of Linked Data; to guide how web resources can be structured and connected using URIs and RDF so that both humans and machines can discover and interpret data efficiently.
Methodology: Conceptual design proposal based on Web architecture principles. Rather than an empirical or experimental study, Berners-Lee formulates prescriptive design rules derived from early web development experience and Semantic Web goals.
Algorithm Used: No computational algorithm. The core “model” is a set of four Linked Data principles: (1) Use URIs as names for things, (2) Use HTTP URIs, (3) Provide useful RDF information upon lookup, (4) Include links to other URIs for discovery.
Top Model: The Linked Data Principles and, indirectly, the 5-Star Open Data model that extends these rules.
Accuracy: Not a quantitative or empirical work; accuracy is conceptual. The “validation” comes from global adoption and the successful growth of the Linked Open Data cloud following these principles.
Advantages: - Established the foundation of Linked Data and the Semantic Web. - Introduced reusable, web-scalable identification and linking mechanisms. - Influenced all later data quality, interoperability, and accessibility frameworks (FAIR, DQV, ISO 25012, Zaveri 2015, etc.). - Promoted openness and machine-readability of web data.
Drawbacks: - No formal metrics or measurable criteria for quality. - Lacks guidance on assessing data correctness, completeness, or trust. - Doesn’t consider governance, provenance, or evolving knowledge graph structures. - Functions as a conceptual manifesto, not a testable framework.
Source: https://www.w3.org/DesignIssues/LinkedData.html Edit

Criteria (6)

Name Description Definitions
Accessibility The document outlines the fundamental design principles behind Linked Data on the Web. It proposes a set of rules for …
  • Quality dimension from Linked Data – Design Issues. (2006)
  • The document outlines the fundamental design principles behind Linked Data on the Web. It proposes …
Interpretability The document outlines the fundamental design principles behind Linked Data on the Web. It proposes a set of rules for …
  • Quality dimension from Linked Data – Design Issues. (2006)
  • The document outlines the fundamental design principles behind Linked Data on the Web. It proposes …
Relevancy (Interlinking The document outlines the fundamental design principles behind Linked Data on the Web. It proposes a set of rules for …
  • The document outlines the fundamental design principles behind Linked Data on the Web. It proposes …
Relevancy (Interlinking) Quality dimension from Linked Data – Design Issues.
  • Quality dimension from Linked Data – Design Issues. (2006)
Consistent representation The document outlines the fundamental design principles behind Linked Data on the Web. It proposes a set of rules for …
  • Quality dimension from Linked Data – Design Issues. (2006)
  • The document outlines the fundamental design principles behind Linked Data on the Web. It proposes …
Interoperability The document outlines the fundamental design principles behind Linked Data on the Web. It proposes a set of rules for …
  • Quality dimension from Linked Data – Design Issues. (2006)
  • The document outlines the fundamental design principles behind Linked Data on the Web. It proposes …
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