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The Non-Terrifying Intro to Semantic Content

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6/20/22 1 @nozurbina #intelcontent The Non- Terrifying intro to Semantic Content noz.urbina@urbinaconsulting .com founder & content strategist
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Page 1: The Non-Terrifying Intro to Semantic Content

3/23/2015 1 @nozurbina • #intelcontent

The Non-Terrifying intro to Semantic Content

[email protected]

founder & content strategist

Page 2: The Non-Terrifying Intro to Semantic Content

@nozurbinaNoz Urbina, Urbina Consulting

Content strategist & modeller

14 years in content/semantics

Consultant/trainer in H2H (B2B/B2C)

Author / Futurist

urbinaconsulting.com/events

89 3929 31 x8824g

UC.com 2055

Page 3: The Non-Terrifying Intro to Semantic Content

@nozurbinaToday

The marketFixing our content

(with semantic models)

What to do next

Page 4: The Non-Terrifying Intro to Semantic Content

THE BIG PICTURE

Changes in the market and publishing

5 - Urbinaconsulting.com @nozurbina#intelcontent

Page 5: The Non-Terrifying Intro to Semantic Content

@nozurbinaContent karma

The more real value you give to consumers, the more value that will come back your way.

Me – “How to Adjust Your Content Strategy for Adaptive Content Personalization” bit.ly/ac-how2

Image: Moyan Brenn

Page 6: The Non-Terrifying Intro to Semantic Content

@nozurbinaContent karma

The more we can make our content adaptive, the more we can realistically deliver tailored, high-value content without running out of budget, resources, or time.

Me – “How to Adjust Your Content Strategy for Adaptive Content Personalization” bit.ly/ac-how2

Image: Moyan Brenn

Page 7: The Non-Terrifying Intro to Semantic Content

Not a

“pa

ge”.

An an

swer

Today’s content solutions are not passive

They are (pro)active systems that deliver the right dose of information to the right person

(by leveraging metadata)

Page 8: The Non-Terrifying Intro to Semantic Content

YOU CAN DO IT TOO

#intelcontent

Page 9: The Non-Terrifying Intro to Semantic Content

flickr.com/photos/nasawebbtelescope/5556216838

What troubleshootin

g is needed here?

flickr.com/photos/dbnunley/10027759633

Where should I go

on vacation?

How can I get one of these?

flickr.com/photos/ucdaviscoe/5934402970

Does this have the specs I

want?

Page 10: The Non-Terrifying Intro to Semantic Content

BUT WE HAVE TO TARGET CONTENT ON…

#intelcontent

Page 11: The Non-Terrifying Intro to Semantic Content

@nozurbina

Generated

Reality

Page 12: The Non-Terrifying Intro to Semantic Content

@nozurbina

Generated

Reality

94% of businesses say

personalization is key to success

econsultancy.com

48% of shoppers would like to use a phone to shop while in stores

luxurydaily.com

74% of shoppers who ‘showroom’ are older than 29, and 48% older than 40

Columbia Business School(bit.ly/ac-how2)

66% of B2B suppliers say

customer expectations are

driving them towards omnichannel

accenture (bit.ly/b2bomni)

Page 13: The Non-Terrifying Intro to Semantic Content

A NEW ERA: THE SMARTENING

The first great age of metadata is upon us!

#intelcontent

Page 14: The Non-Terrifying Intro to Semantic Content

@nozurbinaWe must fix the content• Make it format-agnostic

• Break it up into reusable, well-modelled components

• Apply semantic metadata that defines and describes it

• Apply audience, applicability and context metadata to decide where and when to route it

15

Page 15: The Non-Terrifying Intro to Semantic Content

FIXING THE CONTENT

16 - Urbinaconsulting.com @nozurbina#intelcontent

Page 16: The Non-Terrifying Intro to Semantic Content

KEY CONCEPTS Content modelSemantic (vs Structured)Taxonomy

Linked Data (RDF/OWL)

Metadata

Component Content

#intelcontent

Page 17: The Non-Terrifying Intro to Semantic Content

@nozurbinaBreak it up

18

WWW.

Break up content into format-free components

Page 18: The Non-Terrifying Intro to Semantic Content

@nozurbinaBreak it upChange the “unit of use”:

Documents or Pages

vs

Components (aka modules, topics)

Fragments

Variables

www

Component Content

(Management)

Page 19: The Non-Terrifying Intro to Semantic Content

@nozurbinaModularity enables reuseScenario A Scenario B Scenario CPool of modular

components

Reuse enables contextualised experiences

Page 20: The Non-Terrifying Intro to Semantic Content

@nozurbinaModularity enables reuse

Assembly A Assembly B Content for Scenario D

Page 21: The Non-Terrifying Intro to Semantic Content

METADATA

“Data about data” you’ve probably already heard, but there’s always more to think about

#intelcontent

Page 22: The Non-Terrifying Intro to Semantic Content

@nozurbinacategorisation

display

access

Relational and linking

performance analytics

user rankingTarget

audience

applicabilitybusiness process

Target audience

dependencies

language

change history

editorial

lifecycle status

versioning

prerequisites

content model

METADATA

Page 23: The Non-Terrifying Intro to Semantic Content

SCOPE: WHERE TO PUT METADATA

It started with documents….

#intelcontent

Page 24: The Non-Terrifying Intro to Semantic Content

@nozurbina

Info Product (map, deliverable, document…)

Assembly (Collections, Topic Group, Libraries, ChapterMap, Chapter)

Module (topic, article…)

Fragment(block, container, para, section…)

Inline (element/tag)

Metadata scopeWW

W.

spacer

Break up content into format-free components

spacer

spacer

spacer

Page 25: The Non-Terrifying Intro to Semantic Content

CONTENT MODEL

Defining our types of content

#intelcontent

Page 26: The Non-Terrifying Intro to Semantic Content

Not a

“pa

ge”.

An an

swer

Page 27: The Non-Terrifying Intro to Semantic Content

Not a

“pa

ge”.

An an

swer

Structural model of “store” content

type

Create

Well tagged

(machine-

readable) description of “a store”

Transform

Map to machine-readable output with

Schema.org

metadata

Store.html

Specific,

relevant

answer

Index(Engine)

Your tools or 3rd

Party, e.g. Google

Persistent

metadata!

Page 28: The Non-Terrifying Intro to Semantic Content

BUILDING IN THE NEEDED INTELLIGENCEAdaptive content modelling

#intelcontent

Page 29: The Non-Terrifying Intro to Semantic Content

http://www.canon.com.vn/business/products/all-in-ones/laser-all-in-ones/imageclass-mf8010cn?languageCode=VN

Familiar content

Page 30: The Non-Terrifying Intro to Semantic Content

Main image

Product Name

SupplementaryProduct Images

Product Overview

Feature List

Tagline

Feature Details

Model

http://www.canon.com.vn/business/products/all-in-ones/laser-all-in-ones/imageclass-mf8010cn?languageCode=VN

Reverse engineere

d

Page 31: The Non-Terrifying Intro to Semantic Content

@nozurbina

Your content creators &

customers will internalise your

modelshttp://www.canon.com.vn/business/products/all-in-ones/laser-all-in-ones/imageclass-mf8010cn?languageCode=VN

@class=“main”

Page 32: The Non-Terrifying Intro to Semantic Content

WE ARE SENSE MAKING MACHINES

We’ll make it up if we have to

33#intelcontent

Page 33: The Non-Terrifying Intro to Semantic Content

@nozurbina

Page 34: The Non-Terrifying Intro to Semantic Content

@nozurbina

The mind uses naturally compression to take the

fundamentals from the right and match it to the model on the left.

Page 36: The Non-Terrifying Intro to Semantic Content

@nozurbina

Product Family (desktop) Product

(mobile)Product (desktop)

Product leaflet (Print)

The content model is the backbone of

adaptive, cross-media, omnichannel

content strategies

Microsoft

Hololens

When your semantics are explicit in your content, machines can help you

reuse, transform, translate or format it

Page 37: The Non-Terrifying Intro to Semantic Content

TAXONOMY

Categorising our content and concepts

#intelcontent

Page 38: The Non-Terrifying Intro to Semantic Content

Each value = a taxonomy facet

Page 39: The Non-Terrifying Intro to Semantic Content

@nozurbina

Taxo

nomy of

Catego

ry Values

Page 40: The Non-Terrifying Intro to Semantic Content

@nozurbinaContent

123

6

9

Product layout

Model Output

@audience=“usb”

@audience=“him”

Semantic models make your content

programmable for maximum reuse &

relevance

Page 41: The Non-Terrifying Intro to Semantic Content

LINKED DATA

Content models and taxonomies for everyone!

Page 42: The Non-Terrifying Intro to Semantic Content

(Now) backed and endorsed by Google, Facebook, Bing, BBC, Tim Berners-Lee, and

many more.

Superior experience for consumers, more

effective for brands

Page 43: The Non-Terrifying Intro to Semantic Content

Not a “p

age”.

An answer

Page 44: The Non-Terrifying Intro to Semantic Content

Not a “p

age”.

An answer

Page 45: The Non-Terrifying Intro to Semantic Content

http://zucando.com/zen-cart-modules/seo-marketing-tools/google-rich-snippets-breadcrumbs

Page 46: The Non-Terrifying Intro to Semantic Content

http://searchengineland.com/structured-data-markup-inevitable-but-an-admission-of-failure-136383 - Warning, this article sucks

Page 47: The Non-Terrifying Intro to Semantic Content

PUTTING IT ALL TOGETHER

Page 48: The Non-Terrifying Intro to Semantic Content

@nozurbina

Content Models OutputsUsers

Him

Her

USB gadget

buyers

Putting it all togetherScenario

s

123

6

9

RDF

Content standard

Page 49: The Non-Terrifying Intro to Semantic Content

@nozurbina

Content Models OutputsUsers

Him

Her

USB gadget

buyers

Putting it togetherScenario

s

123

6

9

RDF

Content standard

You don’t have to do everything tomorrow!

Page 50: The Non-Terrifying Intro to Semantic Content

@nozurbina

CMI Next Now

Page 51: The Non-Terrifying Intro to Semantic Content

@nozurbina

Next CMI Next

Page 52: The Non-Terrifying Intro to Semantic Content

@nozurbina

Buzzwords Podcast / Post

“Next” Podcast / Post

BooksPodcast / Post

User-definedPodcast / Post

Next CMI Next

Schema.org

Conference Brochure(Print)

Page 53: The Non-Terrifying Intro to Semantic Content

@nozurbina

Conference Brochure(Print)

Buzzwords Podcast / Post

“Next” Podcast / Post

BooksPodcast / Post

User-definedPodcast / Post

Next CMI Next

All doable retrospectively

because of consistent

semantics!

All doable because of consistent(and not so scary)

semantics!

Schema.org

Content model

Structure

Taxonomy

Linked Data

Metadata

Component Content

Page 54: The Non-Terrifying Intro to Semantic Content

@nozurbinaWhat you should do nowDo

omnichannel readiness

review (people, process, platform,

positioning)

Consider the metrics & KPIs

Build detailed, multi-context

journeys/stories

Audit the current state

Establish feasible,

conservative scope

Model & implement Min. Viable Prototype

Page 55: The Non-Terrifying Intro to Semantic Content

Redmond, WA, USA Microsoft HQ May 18-19 (2 days)Minneapolis, USA Confab Central May 20Aix-en-Provence, France Componize May 27-28 (2 days)Your offices…? Contact us!

Contact us to discuss free participation for some of your staff in exchange for hosting an open workshop in your facilities.

bit.ly/uc-events

WORKSHOPAdaptive content

modelling for omnichannel

Thank you!

(Q&A?)


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