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・ Linked Data Platform
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Linked data : ウィキペディア英語版
Linked data
In computing, linked data (often capitalized as Linked Data) describes a method of publishing structured data so that it can be interlinked and become more useful through semantic queries. It builds upon standard Web technologies such as HTTP, RDF and URIs, but rather than using them to serve web pages for human readers, it extends them to share information in a way that can be read automatically by computers. This enables data from different sources to be connected and queried.〔 Solving Semantic Interoperability Conflicts in Cross–Border E–Government Services.〕
Tim Berners-Lee, director of the World Wide Web Consortium (W3C), coined the term in a design note about the Semantic Web project.
== Principles ==
Tim Berners-Lee outlined four principles of linked data in his ''Design Issues: Linked Data'' note,〔 paraphrased along the following lines:

# Use URIs to name (identify) things.
# Use HTTP URIs so that these things can be looked up (interpreted, "dereferenced").
# Provide useful information about what a name identifies when it's looked up, using open standards such as RDF, SPARQL, etc.
# Refer to other things using their HTTP URI-based names when publishing data on the Web.

Tim Berners-Lee gave a presentation on linked data at the TED 2009 conference. In it, he restated the linked data principles as three "extremely simple" rules:

# All kinds of conceptual things, they have names now that start with HTTP.
# If I take one of these HTTP names and I look it up () I will get back some data in a standard format which is kind of useful data that somebody might like to know about that thing, about that event.
# When I get back that information it's not just got somebody's height and weight and when they were born, it's got relationships. And when it has relationships, whenever it expresses a relationship then the other thing that it's related to is given one of those names that starts with HTTP.


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「Linked data」の詳細全文を読む



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