knowledge graphs
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Introduction to knowledge graphs
Introduction to knowledge graphs (section 4.3): Deductive knowledge – Reasoning
Practical reasoning algorithms using rules and description logics.
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Introduction to knowledge graphs
Introduction to knowledge graphs (section 4.2): Deductive knowledge – Semantics and entailment
Ontology conditions give rise to entailments.
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Introduction to knowledge graphs
Introduction to knowledge graphs (section 4.1): Deductive knowledge – Ontologies
An ontology is a concrete, formal representation – a convention – on what terms mean within the scope in which…
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Introduction to knowledge graphs
Introduction to knowledge graphs (part 4): Deductive knowledge
Machines do not have inherent deductive faculties, but rather need entailment regimes to formalise the logical consequence of a given…
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Introduction to knowledge graphs
Introduction to knowledge graphs (section 3.4): Data graphs – Context
Graph data can be considered true with respect to a certain context.
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Introduction to knowledge graphs
Introduction to knowledge graphs (section 3.3): Data graphs – Validation
We may wish to validate that our data graph follows a particular structure or is in some sense “complete.”
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Introduction to knowledge graphs
Introduction to knowledge graphs (section 3.2): Data graphs – Querying
A number of languages have been proposed for querying graphs.
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Introduction to knowledge graphs
Introduction to knowledge graphs (section 3.1): Data graphs – Models
Graphs offer a flexible way to conceptualise, represent, and integrate diverse and incomplete data.
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Introduction to knowledge graphs
Introduction to knowledge graphs (part 3): Data graphs
Graph data models and the languages used to query and validate them.
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Introduction to knowledge graphs
Introduction to knowledge graphs (part 2): History of knowledge graphs
Understanding historical context and background is important in order to understand the possible avenues of the future.
