The document discusses the Web of Data, which is a boundless graph of interconnected data available online. It describes how the Web of Data differs from just having data on the web by having links between related data points. This allows the data to have more structure and meaning. The basic building blocks that make up the Web of Data are Resource Description Framework (RDF) triples that express relationships between subjects and objects. By using HTTP URIs to identify things and RDF to express relationships, the Web of Data aims to make data on the web more connected and meaningful.
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Data on the Web
• Takes many different forms
• Falls on a continuum of accessibility/usability,
structure, meaning and connectedness...
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Data on the Web
PDF → HTML → Microformats → CSV/XML → Microdata →RDF
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Schema.org
• The Semantic Web has gone mainstream!
• But they're trying to create one ontology for
everything!
• Is it linked to anything else?
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Issues, PDF through Microdata
• Structure, parseability
– How do we validate what we're extracting?
– Is there an underlying data model?
• How do we know what the data means?
• How do you relate parts of the data together?
• How do consumers discover related data?
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What is the Web of Data?
• A boundless graph of interconnected data available
online...
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What is a Graph?
Talis Education
Tom employedBy
locatedIn
Italy
studentOf bornIn
England
tutorAt
Enrico
2012-07-08
startedOn
SSSW2012
capitalOf
locatedIn Spain
near
Cercedilla Madrid
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One Graph, Many Documents
Talis Education
Tom employedBy
locatedIn
Italy
studentOf bornIn
England
tutorAt
Enrico
2012-07-08 won
startedOn
SSSW2012 lost Euro2012Final
capitalOf
locatedIn Spain
near
Cercedilla Madrid
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Why I RDF
• Clear underlying data model
• Linkability baked into the data model
• Ways to express what the data means
• Many different ways to write it (for different use
cases)
• Very easily parsed (in some cases)
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Identifying Things in the Graph
• Use URIs
• But not any old URIs
• HTTP URIs
– (almost completely) distributed ownership
– anyone (with a credit card) can create/own them
– can identify anything
– lookup mechanism is baked in
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HTTP URIs for Things
http://www.talis.com/id/company
http://tomheath.com/id/me
http://example.org/employedBy
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Linked Data Hands-On Session
• Goal:
– Give practical experience of working with Linked Data from
the Web
– Give exposure to different application architectures
• Scenario
– Building a travel guide application
• Tools
– Curl, LDSpider, Fuseki, Rapper, Squin