Content knowledge graphs - informationenergy.org · Dr Ian Piper UK Director PoolParty Semantic Suite Content architecture, classification and knowledge graphs 1

Dr Ian PiperUK Director

PoolParty Semantic Suite

Content architecture, classification and knowledge graphs

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Agenda

● Introducing SKOS taxonomies for classification● Modelling content and taxonomies for classification● Building content knowledge graphs

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(Part of) my knowledge graph

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Introducing SKOSTaxonomies for classification

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SKOS is:

• The Simple Knowledge Organisation System

• A W3C standard: https://www.w3.org/TR/2009/REC-skos-reference-20090818/

• An RDF-conformant data model (an ontology)

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(which may seem a little dry and dull)

But really, and more importantly,SKOS is:

• A simple, well-defined, easy to understand format for classification schemes

• An extensible model for flexible taxonomy building

• A fundamental building block for semantic content classification

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So why is SKOS useful?

• It is easy to read• It provides basic taxonomy features

(broader, narrower, related, various labels)• Hierarchies are implied through broader-

narrower properties rather than explicit in element structures

• It is extensible (SKOS-XL, custom schemes)

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Simplified SKOS model

• Two classes (types of thing): Concept and ConceptScheme

• These classes have properties• Some properties link concepts to other concepts• (via their URIs)• Other properties define and describe concepts

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9Another way to look at it

Content and taxonomiesAligning content and taxonomies for classification

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Old-school classification

• A traditional CMS taxonomy• Terms are simple strings – no extended

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Old-school classification

• Traditional content tagged with taxonomy• The tag is a hard database relationship• No semantics (anywhere!)12

What’s wrong with this?

• Not much, IF you have only simple content AND it’s all in one place AND your CMS and taxonomies never change

• It’s a fragile mechanism – it can break if you change anything

• It’s only a local solution – it won’t help you to connect up your enterprise

• Simple, monolithic content objects are inflexible – not easy to re-use

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Another approach

• Think of content in terms of granular objects and containers

• Don’t worry about fixed storage hierarchies – use virtual hierarchies

• Give every content object a URI• Use external, enterprise taxonomies rather

than internal, local taxonomies• Build semantic links between content and

taxonomies

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Content objects and containers

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Content objects and containers

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Content objects and containers

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Content objects and containers

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A taxonomy in an external taxonomy management system

16Label and URI for this concept

A piece of structured content with a URI

17The content object has a Uniform Resource Identifier (URI)

Putting it all together; a content object semantically tagged with a taxonomy concept

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[has subject]

Simple content object structure

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Content model as a graph

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Content knowledge graphsHow taxonomies can work with structured content

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Building a content knowledge graph - step 1

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Building a content knowledge graph - step 2

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Building a content knowledge graph - step 3

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An aside on semantic triples

Building a content knowledge graph - step 4

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Content knowledge graphs: summary

A content knowledge graph approach:

• Allows separation of concerns and reduces dependencies

• Facilitates the development of an enterprise knowledge graph

• Provides an incremental route from current state

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CONNECT

Dr Ian PiperUK PoolParty DirectorTellura Information Services Ltd.• [email protected]• [email protected]• https://www.linkedin.com/in/ianpiper • https://twitter.com/tellura_tweets • http://tellura.co.uk/

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CONNECT

Sebastian GablerConsultant, Semantic Web Company• [email protected]• https://at.linkedin.com/in/SebastianGabler• https://poolparty.biz

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© Semantic Web Company - http://www.semantic-web.at/ and http://www.poolparty.biz/