🔗Linked Data

NEW

Also known as: Semantic Web Data

Web-published data using semantic standards and URIs to interlink resources for discovery and reuse.

DESCRIPTION

Linked Data applies web principles to connect datasets using URIs and RDF so that relationships are explicit and navigable. It enables data integration, interoperability, and semantic queries across sources. Key technologies include RDF, SPARQL, and JSON‑LD. Best practices emphasize dereferenceable URIs, vocabularies, and open licensing when possible. Linked Data underpins knowledge graphs and the broader Semantic Web vision.

ALTERNATIVE DEFINITIONS

W3C (Tim Berners-Lee)

Linked Data is about using the Web to connect related data that wasn’t previously linked, or using the Web to lower the barriers to linking data currently linked using other methods.

Highlights the web-native approach and barrier reduction for linking data.

Source

Wikipedia

Linked data is structured data which is interlinked with other data so it becomes more useful through semantic queries.

Connects interlinking with increased utility via semantic queries.

Source

RELATED TERMS

RDF SPARQL JSON-LD OWL Uniform Resource Identifier Knowledge Graph Knowledge Representation DCAT W3C Linked Data Platform

COMPETING TERMS

Data Silos

RELATIONS

• Broader: Data

KNOWLEDGE AREAS

Semantic & Knowledge Modeling Data Integration & Interoperability Data Management

TARGET AUDIENCE

Data Architect Data Engineer Information Analyst Data Steward

EXTERNAL SOURCES

• Wikipedia - Linked data
• W3C - Linked Data Platform 1.0 specification
• JSON-LD Community/W3C - JSON-LD resources and specifications
• W3C - RDF 1.1 Primer for Linked Data

TOP QUESTIONS

What problem does Linked Data solve?

It breaks data silos by using web standards to interlink datasets, enabling discovery, integration, and semantic queries across organizational and domain boundaries.

Category: Relevancy

Which standards underpin Linked Data?

RDF for data modeling, URIs for identification, SPARQL for querying, and JSON‑LD for web-friendly serialization are core standards.

Category: Standards

How does Linked Data relate to knowledge graphs?

Linked Data provides the open, standards-based fabric; knowledge graphs often implement these standards to model and integrate entities and relationships.

Category: Concept

What are common challenges with Linked Data?

Assigning stable URIs, vocabulary alignment, performance of SPARQL endpoints, and data quality/maintenance are common hurdles.

Category: Risks

How do I publish Linked Data?

Mint dereferenceable URIs, provide RDF or JSON‑LD, document vocabularies, and optionally expose a SPARQL endpoint. Follow W3C best practices.

Category: Implementation

Is Linked Data only for open data?

No. It is also valuable inside enterprises for integrating internal datasets with consistent semantics and identifiers.

Category: Misunderstanding

What is the role of ontologies in Linked Data?

Ontologies define shared vocabularies and semantics, enabling interoperability and reasoning across datasets.

Category: Concept

How does JSON-LD help Linked Data adoption?

JSON‑LD embeds linked data in familiar JSON, easing integration with web APIs and JavaScript frameworks.

Category: BestPractices

How do you query Linked Data?

Use SPARQL for RDF datasets, or leverage graph query languages and APIs that expose linked semantics.

Category: Practice