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Linked Data Publication of Live Music Archives and Analyses Sean Bechhofer1, Kevin R. Page2, David M. Weigl2, George Fazekas3, and Thomas Wilmering3 13School of Computer Science, University of Manchester Sean.bechhofer×Manchester.ac.UK 2 Oxford
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To fill out a linked data publication, follow these steps:
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Collect the relevant data that you wish to publish as linked data.
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Organize the data in a structured format, such as RDF (Resource Description Framework) or JSON-LD (JSON for Linked Data).
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Identify the entities and the relationships between them in your data.
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Assign unique URIs (Uniform Resource Identifiers) to each entity to provide a persistent identifier on the web.
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Use RDF triples or JSON-LD properties to define the properties and values of each entity.
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Ensure that your linked data adheres to relevant ontologies and vocabularies to improve data interoperability.
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Validate your linked data using tools like RDF validators to check for errors or inconsistencies.
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Publish your linked data on the web, either by hosting it on your own server or by utilizing existing Linked Data platforms.
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Provide metadata about the linked data, including its title, description, and license, to enable others to discover and understand it.
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Encourage others to use and reuse your linked data by promoting it within relevant communities and networks.

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Overall, linked data publication is valuable for anyone seeking to make information more interconnected, accessible, and usable on the web.
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Linked data publication refers to the process of making structured data available on the web using linked data principles.
Certain organizations and institutions may be required to file linked data publication based on regulatory requirements or internal policies.
Linked data publication can be filled out by converting data into a linked data format such as RDF and publishing it on the web using URIs.
The purpose of linked data publication is to make data more discoverable, accessible, and interoperable on the web.
Linked data publication may include information such as metadata, descriptions, relationships, and identifiers for various datasets.
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