RDF (Resource Description Framework): The foundational standard for representing linked data on the web. RDF allows for linking disparate data in a meaningful way.
SPARQL: A query language used for querying linked data repositories, allowing you to extract and manipulate data from RDF datasets.
OWL (Web Ontology Language): A language used for creating ontologies that structure the relationships between different pieces of data.
2. Key Platforms and Ecosystems
Wikidata: A free and open knowledge base that serves as a central repository for structured data, supporting the linked open data ecosystem.
Artsdata Ecosystem: A platform for structuring and linking performing arts data in Canada, enhancing discoverability across various sources.
Linked Open Vocabularies (LOV): A catalog of vocabularies used for linked data, with a built-in API and search engine for exploring available ontologies.
Solid Project: Focuses on decentralized data ownership using LOD principles.
Open Data Institute (ODI): "The ODI works with organisations to build data infrastructure, knowledge, and strategies that create trust in data and data practices. We bring together businesses, governments, and civil society to generate economic benefits and tackle real-world challenges using data.""
9. Tools for Visualizing and Querying Linked Data
YASGUI: A popular SPARQL query editor with auto-complete features for running SPARQL queries.
10. Additional Tools
Protégé: A free, open-source ontology editor and knowledge base framework.
TopQuadrant: "Seamlessly connect and govern your essential data, harnessing the power and clarity of knowledge graphs, to personalize search, automate operations, and safely deploy AI.""
GraphDB: "A robust RDF triplestore for storing, querying, and managing large linked data sets. GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.""