The value of structured data

The value of Structured Datain Content Management Systems

www.webnodes.com

Ole GulbrandsenCTO [email protected]

GILBANE CONFERENCE Boston - 2012

The key goals of your website

1. Capture new customers2. Engage your customers3. Retain visitors and inspire loyalty

«Structured Data»?

John works lives in the UK. He is an engineer and works for Nike. He was 42 years old in 2011. Margareth works in Spain. She likes rowing. She works for Nike too and is a financial analyst. Ronald works for Nike too, but i Norway. He is a shop assistant. His hobby is cycling. Bert is a cleaner from United Kingdom. He loves painting, and works in Hewlet Packard. Sofie likes antiques and lives in Australia where she works for the same company as Bert. Margareth is five years older than John. Ronald is 30 and 3 years older than Bert. John works lives in the UK. He is an engineer and works for Nike. He was 42 years old in 2011. Margareth works in Spain. She likes rowing. She works for Nike too and is a financial analyst. Ronald works for Nike too, but i Norway. He is a shop assistant. His hobby is cycling. Bert is a cleaner from United Kingdom. He loves painting, and works in Hewlet Packard. Sofie likes antiques and lives in Australia where she works for the same company as Bert. Margareth is five years older than John. Ronald is 30 and 3 years older than Bert. John works lives in the UK. He is an engineer and works for Nike. He was 42 years old in 2011. Margareth works in Spain. She likes rowing. She works for Nike too and is a financial analyst. Ronald works for Nike too, but i Norway. He is a shop assistant. His hobby is cycling. Bert is a cleaner from United Kingdom. He loves painting, and works in Hewlet Packard. Sofie likes antiques and lives in Australia where she works for the same company as Bert. Margareth is five years older than John. Ronald is 30 and 3 years older than Bert. John works lives in the UK. He is an engineer and works for Nike. He was 42 years old in 2011. Margareth works in Spain. She likes rowing. She works for Nike too and is a financial analyst. Ronald works for Nike too, but i Norway. He is a shop assistant. His hobby is cycling. Bert is a cleaner from United Kingdom. He loves painting, and works in Hewlet Packard. Sofie likes antiques and lives in Australia where she works for the same company as Bert. Margareth is five years older than John. Ronald is 30 and 3 years older than Bert. John works lives in the UK. He is an engineer and works for Nike. He was 42 years old in 2011. Margareth works in Spain. She likes rowing. She works for Nike too and is a financial analyst. Ronald works for Nike too, but i Norway. He is a shop assistant. His hobby is cycling. Bert is a cleaner from United Kingdom. He loves painting, and works in Hewlet Packard. Sofie likes antiques and lives in Australia where she works for the same company as Bert. Margareth is five years older than John. Ronald is 30 and 3 years older than Bert. John works lives in the UK. He is an engineer and works for Nike. He was 42 years old in 2011. Margareth works in Spain. She likes rowing. She works for Nike too and is a financial analyst. Ronald works for Nike too, but i Norway. He is a shop assistant. His hobby is cycling. Bert is a cleaner from United Kingdom. He loves painting, and works in Hewlet Packard. Sofie likes antiques and lives in Australia where she works for the same company as Bert. Margareth is five years older than John. Ronald is 30 and 3 years older than Bert.

Name Position Age Interest Country Company John Engineer 42 years Cycling US Nike

Margaret Analyst Born 1969 Rowing Spain Nike

Ronald Engineer 34 years Cycling UK HP

Bert Cleaner 28 years Painting Australia HP

Sofia Accountant Born 12/79 Antiques US Nike

John Engineer 42 years Cycling US Nike





John Engineer 42 years Cycling US Nike





Name Position Birth Interest Country Company John Engineer 01.02.1969 Cycling US Nike

Margaret Analyst 03.02.1969 Rowing Spain Nike

Ronald Engineer 02.12.1975 Cycling UK HP

Bert Cleaner 02.12.1971 Painting Australia HP

Sofia Accountant 02.12.1979 Antiques US Nike

John Engineer 01.02.1969 Cycling US Nike





John Engineer 01.02.1969 Cycling US Nike





PEOPLEName Position Birth Company Interest Country

John 1 01.02.1969 1 2 2Margaret 2 01.02.1969 1 2 3Ronald 2 01.02.1969 2 4 4Bert 4 01.02.1969 2 3 2Sofia 3 01.02.1969 1 1 1

INTEREST

ID Name Sport

1 Cycling True

2 Antiques False

3 Rowing True

4 Painting False

COUNTRYID Name

1 Australia

2 UK

3 US

4 Painting

POSITIONID Name

1 Engineering

2 Analytics

3 Accounting

4 Cleaning

COMPANY

ID Name

1 Hewlett Packard

2 Nike

«Structured data» in CMS systems?

Pages are Generated Views of the content“Manage content, not pages”

TAG

TAG

TAG

TAG

TAG

TAG

How can Structured Dataimprove your CMS?

Topics• Navigation• Multichannel publishing• Social collaboration• E-commerce & BI• Personalized content• Web Applications• SEO & Schema.org• Integration and data sharing• Semantic Web

www.webnodes.comOle Gulbrandsen – [email protected]

Explore Norway.com

Rafting

Skiing

Biking

West

East

Oslo

Hamar Biking in Hamar

North

South

Hiking

Tree-based navigation

Explore Norway.com

West

East

Oslo

Hamar

Rafting

Skiing

Biking Biking in Hamar

Hiking

North

South

Region City Activity

Relation based navigation

DEMO

Multichannel publicationDifferentHTML Layoutsfor devices

DifferentData Formatsfor App frameworksin tablets & mobiles

«One system» &«One data source»for all devices and all formats

CMS

Social collaboration

• Social data is a network of relations.

• If your Data Model support relations, you can model social graphs directly in your CMS and integrate it with your content.

• Collaboration platform for – 2 500 schools + 4 mill users

• All data and functionality in one CMS• Seamless integration of content

and social data• E-Commerce• Unified access system on all content• Multiple devices, Multiple formats

Social collaboration

Communicate, Collaborate, Connect

Search Engine Optimization

[Red]text[Image]

240x130px

[Blue]text

[Bold]text

[H1]text

[Black]text

Without semantic tags

PriceProduct Image

Phone Color

StockStatus

ProductName

Currency

With semantic tags

www.schema.org

DEMO

Engage you customers

TREND 1: Customers land directly on one of your product pages after searching for it in one of the search engines

TREND 2: Customers use your search for navigating, not your menus and links

Consequence for your website:• Relation-based navigation• Product recommendations• Accurate and faceted search• Seamless transition between

menus and searching

Web Applications

• Business processes moves to the web• Websites are becoming Web Applications• Increased need for data integration

and sharing

-> All points to the need for Structured Data

web av data

http://www.diplom-is.no/

Integration and Data Sharingthrough Data endpoints

«A protocol for sharing and updating structured data between applications.»

Ecobox project database

ODataEndpoint

NORWEGIAN STATE HOUSING BANK

GOVERMENTAL INITIATIVE ABOUTENERGY EFFICIENT HEATING

FURTHER CONNECTING TO 13 OTHER WEBSITES

http://husbanken.no/forbildeprosjekter/

Topics Navigation Multichannel publishing Social collaboration E-commerce & BI Personalized content Web Applications SEO & Schema.org Integration and data sharing Semantic Web


CaptureSEO / Rich snippets / Data sharing

EngageNavigation / Richer clients / Search

RetainSocial collaboration / Personalized content / BI


The value of structured data

Documents

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