content model workstreamphase 1

Business transformation goals

• Efficient content updating and publishing

• New business opportunities enabled

• Efficient location of internal content

• Fine-grained business analytics

Phases of the content modelling workstreamphase 1: creating the model

phase 2: testing and refining the model

phase 3: handing over the model to DK

phase 4: migrating content to the new model

Phase 1 deliverablesA model of how DK content can be structured

as content objects

Ontologies, which support content search and reuse

A prototype to demonstrate content objects and ontologies

What are content objects?Reusable "chunks" of meaningful content,

which can be combined to created products

DocBook AssemblyDocBook’s method for topic-based authoring.

• Can be chunked at any level (whole chapter or a paragraph)

• Can be transformed from or to a traditional book structure

DocBook Toolkit

• Out-of-the-box production of PDF, HTML, EPUB, slides etc (good for proofing)

• Excellent tools support (Oxygen XML)

• Fully customizable - can layer own XSL on top

• Disassemble existing DK-Schema books using standard XSL

Introduction to linked data

Linked data is about facts

• Fact: The national gallery is an art gallery

• Fact: The national gallery is in Trafalgar Square

• Fact: Trafalgar Square's nearest tube is Charing Cross

Very simple factsThing ... has some property ... value

subject ... predicate ... object

Facts are stored in a data-base called a triplestoreAsk questions like – what cultural buildings

have a nearest tube station of Charing Cross?

Linked data uses the web

• http://sparql.kode1100.com/id/geonames/6944334

• http://sparql.kode1100.com/id/station/westminster

Linked data stores are schema-less

Got a new fact – just dump it in the store

What facts might be useful to DK?

Facts about real-world things

• For example, the National Gallery

- type, nearest tube, lat/long, wheelchair - access, opening times, tours, events...

• Usually called "reference data"

• Store them once – accessible to all titles and products

Facts about content

• this content object is about the national gallery, was written by ..., uses this image ..., which was taken by ..., which is rights cleared for the UK, is on page ... of the 2012 edition of the RG to London

Facts need a vocabularyThat's what the ontology is

• A vocabulary for writing down facts

• The ontology is divided into a number of separate modules

There are currently ontology modulesassembly

asset

attraction

book

content

location

product

transport

travel-product

travel

web

There are extensible controlled vocabularies book-categories

brands

series

travel-content

travel-themes

Demonstration

Meeting the business transformation goals

• Efficient content updating and publishing- Moving towards a "create once, publish everywhere" strategy, by separating content, structure, meaning and presentation

• New business opportunities enabled- Leverage other sources of data

- Increased brand awareness

Meeting the business transformation goals

• Efficient location of internal content- Use linked data to deeply query our content

- Quickly respond to question like "how muchcontent is there about hotels in Paris?"

• Fine-grained business analytics

- Find out how content is performing at theobject level

- Could inform commissioning/ editorialdecisions

Next stepsRequirements from February 18th

• what does the content model need to do?

Phase 2 throughout March

• Creating products from content objects

• Searching for content objects

• Modelling more domains

Phase 3 beginning in April?

• Handover to DK

Migration beginning in April?