SlideShare a Scribd company logo
1 of 163
Better
Cross-Channel
Experiences
With
Metadata        @AdamUngstad
                #XChannelMetadata
Metadata enables...
consistency
context
interoperability
in
cross-channel experiences
by facilitating
structured
information exchanges.
what is metadata?
information
       about
information objects
the content
the containers
of information objects
what is an
information object?
Document
3 Types of Metadata
Descriptive
Administrative
  Structural
Descriptive
discover & identify
Date
Colour
Version
Category
Make
Origin
When used with UX
techniques such as
Faceted Search
Descriptive metadata...
...enables context.
Administrative
manage
Status
Expiry Date
Content Owner
Access Rights
Intellectual Property
Right content
  Right time
Right channel
  Right user
When used with UX
techniques such as
Content Strategy
Administrative metadata…
…enables consistency.
Structural
composition
of compound objects
Name
First Name


Middle Initial


Last Name
First Name        Other Given Names
       cv                 cv
Surname

Surname (Birth)
                  cv
Surname (Previous)
               cv
When used with UX
techniques such as
Form Design
Structural metadata
enables interoperability.
Channels
Multi-Channel
Website   SMS   Mail   In-Store   Phone
Website   SMS   Mail   In-Store   Phone
Website   SMS   Mail   In-Store   Phone
Cross-Channel
Website   SMS   Mail   In-Store   Phone
Website   SMS   Mail   In-Store   Phone
Moving between channels
requires
information exchanges.
So how do we
exchange information?
3 Sides of
Information Architecture
Presentation
Storage
Exchanges
Exchanges
each side has a
unique structure
exchanges
X
X   Y
X       Y
    Z
Z
Z

Org 1
                            Org 4




        Org 2       Org 3
What is ‘Z’?
Metadata Standards
RDF
                 Z

Org 1
                          Org 4




        Org 2     Org 3
Z
                NIEM


Org 1
                           Org 4




        Org 2      Org 3
DUBLIN
                  Z
                 CORE



Org 1
                              Org 4




        Org 2         Org 3
Good
                   Z
                Relations




Org 1
                                Org 4




        Org 2           Org 3
Z
                OASIS


Org 1
                            Org 4




        Org 2       Org 3
XML
                 Z

Org 1
                          Org 4




        Org 2     Org 3
standards
enable exchanges
exchanges
enable data linking
what is defined by a
metadata standard?
Semantics
meaning
“bench”
Syntax
expression
capsicum
pepper
Name
3ric?
St. Germaine?
Lexical Rules
words
Name
The Cookie Monster?
Talula Does The Hula From
         Hawaii?
Experiences
If a pepper is an
information object...
...a user is one too.
Website   SMS   Mail   In-Store   Phone
is an experience
‘one size fits all’?
experiences must
 be personalized
previous experiences
memories
expectations
wants
interests
aspirations
behaviours
each channel
must know the user
users are not an
exchange mechanism!
X       Y
    Z
never ask for
something twice
you only get
one first chance
What to do on Monday:
1. make metadata a priority
link metadata to ROI
reduce inefficiencies
create loyalty
2. define your data
information objects
content assets
users
relationships
1:1
 1 : many
many : many
1:1
 1 : many
many : many
is part of
is delivered by
  is used with
Ontology
Mental Models
@indiyoung @rosenfeldmedia
Contextual Inquiries
Diary Studies
discover
what needs to be defined
specify
semantics
   syntax
lexical rules
start with a
controlled vocabulary
3. identify exchanges
internal & external
Journey Map
@uxjam
Business Origami
@jessmcmullin
happy paths
unplanned paths
4. build the infrastructure
start small
build on what exists
borrow & reuse
you have to start
  somewhere
build better
cross-channel experiences
with metadata
Thank You!
@AdamUngstad

More Related Content

What's hot

EDF2012 Mariana Damova - Factforge
EDF2012   Mariana Damova - FactforgeEDF2012   Mariana Damova - Factforge
EDF2012 Mariana Damova - FactforgeEuropean Data Forum
 
IETF105 Regext RDAP JCard Profile
IETF105 Regext RDAP JCard ProfileIETF105 Regext RDAP JCard Profile
IETF105 Regext RDAP JCard ProfileAPNIC
 
Debunking some “RDF vs. Property Graph” Alternative Facts
Debunking some “RDF vs. Property Graph” Alternative FactsDebunking some “RDF vs. Property Graph” Alternative Facts
Debunking some “RDF vs. Property Graph” Alternative FactsNeo4j
 
Enriching the semantic web tutorial session 1
Enriching the semantic web tutorial session 1Enriching the semantic web tutorial session 1
Enriching the semantic web tutorial session 1Tobias Wunner
 
FOAF for Social Network Portability
FOAF for Social Network PortabilityFOAF for Social Network Portability
FOAF for Social Network PortabilityUldis Bojars
 
Jarrar: RDF Stores -Challenges and Solutions
Jarrar: RDF Stores -Challenges and SolutionsJarrar: RDF Stores -Challenges and Solutions
Jarrar: RDF Stores -Challenges and SolutionsMustafa Jarrar
 
From the Semantic Web to the Web of Data: ten years of linking up
From the Semantic Web to the Web of Data: ten years of linking upFrom the Semantic Web to the Web of Data: ten years of linking up
From the Semantic Web to the Web of Data: ten years of linking upDavide Palmisano
 
Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes
Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven RecipesReasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes
Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven RecipesOntotext
 
Linked Open Data: A simple how-to
Linked Open Data: A simple how-toLinked Open Data: A simple how-to
Linked Open Data: A simple how-tonvitucci
 
What’s in a structured value?
What’s in a structured value?What’s in a structured value?
What’s in a structured value?Andy Powell
 
Get on the Linked Data Web!
Get on the Linked Data Web!Get on the Linked Data Web!
Get on the Linked Data Web!Armin Haller
 
On the Way to a Holding Ontology
On the Way to a Holding OntologyOn the Way to a Holding Ontology
On the Way to a Holding OntologyJakob .
 
RDA, FRBR, and FRAD: Connecting the dots
RDA, FRBR, and FRAD: Connecting the dotsRDA, FRBR, and FRAD: Connecting the dots
RDA, FRBR, and FRAD: Connecting the dotsLouise Spiteri
 

What's hot (20)

Code4Lib Keynote 2011
Code4Lib Keynote 2011Code4Lib Keynote 2011
Code4Lib Keynote 2011
 
EDF2012 Mariana Damova - Factforge
EDF2012   Mariana Damova - FactforgeEDF2012   Mariana Damova - Factforge
EDF2012 Mariana Damova - Factforge
 
IETF105 Regext RDAP JCard Profile
IETF105 Regext RDAP JCard ProfileIETF105 Regext RDAP JCard Profile
IETF105 Regext RDAP JCard Profile
 
Jesús Barrasa
Jesús BarrasaJesús Barrasa
Jesús Barrasa
 
Debunking some “RDF vs. Property Graph” Alternative Facts
Debunking some “RDF vs. Property Graph” Alternative FactsDebunking some “RDF vs. Property Graph” Alternative Facts
Debunking some “RDF vs. Property Graph” Alternative Facts
 
Enriching the semantic web tutorial session 1
Enriching the semantic web tutorial session 1Enriching the semantic web tutorial session 1
Enriching the semantic web tutorial session 1
 
Data in RDF
Data in RDFData in RDF
Data in RDF
 
FOAF for Social Network Portability
FOAF for Social Network PortabilityFOAF for Social Network Portability
FOAF for Social Network Portability
 
Linked (Open) Data
Linked (Open) DataLinked (Open) Data
Linked (Open) Data
 
Aall denver 2010
Aall denver 2010Aall denver 2010
Aall denver 2010
 
Jarrar: RDF Stores -Challenges and Solutions
Jarrar: RDF Stores -Challenges and SolutionsJarrar: RDF Stores -Challenges and Solutions
Jarrar: RDF Stores -Challenges and Solutions
 
From the Semantic Web to the Web of Data: ten years of linking up
From the Semantic Web to the Web of Data: ten years of linking upFrom the Semantic Web to the Web of Data: ten years of linking up
From the Semantic Web to the Web of Data: ten years of linking up
 
Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes
Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven RecipesReasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes
Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes
 
SWT Lecture Session 2 - RDF
SWT Lecture Session 2 - RDFSWT Lecture Session 2 - RDF
SWT Lecture Session 2 - RDF
 
Getting Real With RDA
Getting Real With RDAGetting Real With RDA
Getting Real With RDA
 
Linked Open Data: A simple how-to
Linked Open Data: A simple how-toLinked Open Data: A simple how-to
Linked Open Data: A simple how-to
 
What’s in a structured value?
What’s in a structured value?What’s in a structured value?
What’s in a structured value?
 
Get on the Linked Data Web!
Get on the Linked Data Web!Get on the Linked Data Web!
Get on the Linked Data Web!
 
On the Way to a Holding Ontology
On the Way to a Holding OntologyOn the Way to a Holding Ontology
On the Way to a Holding Ontology
 
RDA, FRBR, and FRAD: Connecting the dots
RDA, FRBR, and FRAD: Connecting the dotsRDA, FRBR, and FRAD: Connecting the dots
RDA, FRBR, and FRAD: Connecting the dots
 

Similar to Better Cross-Channel Experiences With Metadata - Information Architecture Summit 2012

Data Science - Part XI - Text Analytics
Data Science - Part XI - Text AnalyticsData Science - Part XI - Text Analytics
Data Science - Part XI - Text AnalyticsDerek Kane
 
Semantic web xml-rdf-dom parser
Semantic web xml-rdf-dom parserSemantic web xml-rdf-dom parser
Semantic web xml-rdf-dom parserSerdar Sönmez
 
Information Retrieval
Information Retrieval Information Retrieval
Information Retrieval ShujaatZaheer3
 
Web 3 Expert System
Web 3 Expert SystemWeb 3 Expert System
Web 3 Expert Systemguest4513a7
 
Web 3 Expert System
Web 3 Expert SystemWeb 3 Expert System
Web 3 Expert SystemMediabistro
 
Django in enterprise world
Django in enterprise worldDjango in enterprise world
Django in enterprise worldSimone Federici
 
Finding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic WebFinding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic Webebiquity
 
Essential Elements of Excellent Multilingual Search
Essential Elements of Excellent Multilingual SearchEssential Elements of Excellent Multilingual Search
Essential Elements of Excellent Multilingual Searchandrew_paulsen
 
XML Retrieval - A Slot Filling Approach
XML Retrieval - A Slot Filling ApproachXML Retrieval - A Slot Filling Approach
XML Retrieval - A Slot Filling Approach鍾誠 陳鍾誠
 
Distributed Natural Language Processing Systems in Python
Distributed Natural Language Processing Systems in PythonDistributed Natural Language Processing Systems in Python
Distributed Natural Language Processing Systems in PythonClare Corthell
 
Enterprise Search Share Point2009 Best Practices Final
Enterprise Search Share Point2009 Best Practices FinalEnterprise Search Share Point2009 Best Practices Final
Enterprise Search Share Point2009 Best Practices FinalMarianne Sweeny
 
Top JSON Interview Questions for Freshers
Top JSON Interview Questions for FreshersTop JSON Interview Questions for Freshers
Top JSON Interview Questions for FreshersHitesh Kumar
 
Generating docs from APIs
Generating docs from APIsGenerating docs from APIs
Generating docs from APIsjamiehannaford
 
Frame-Script and Predicate logic.pptx
Frame-Script and Predicate logic.pptxFrame-Script and Predicate logic.pptx
Frame-Script and Predicate logic.pptxnilesh405711
 
CSHALS 2010 W3C Semanic Web Tutorial
CSHALS 2010 W3C Semanic Web TutorialCSHALS 2010 W3C Semanic Web Tutorial
CSHALS 2010 W3C Semanic Web TutorialLeeFeigenbaum
 
Reflected Intelligence: Lucene/Solr as a self-learning data system
Reflected Intelligence: Lucene/Solr as a self-learning data systemReflected Intelligence: Lucene/Solr as a self-learning data system
Reflected Intelligence: Lucene/Solr as a self-learning data systemTrey Grainger
 
Introduction to Application Profiles
Introduction to Application ProfilesIntroduction to Application Profiles
Introduction to Application ProfilesDiane Hillmann
 
Natural Language Search with Knowledge Graphs (Haystack 2019)
Natural Language Search with Knowledge Graphs (Haystack 2019)Natural Language Search with Knowledge Graphs (Haystack 2019)
Natural Language Search with Knowledge Graphs (Haystack 2019)Trey Grainger
 
Reflected Intelligence - Lucene/Solr as a self-learning data system: Presente...
Reflected Intelligence - Lucene/Solr as a self-learning data system: Presente...Reflected Intelligence - Lucene/Solr as a self-learning data system: Presente...
Reflected Intelligence - Lucene/Solr as a self-learning data system: Presente...Lucidworks
 

Similar to Better Cross-Channel Experiences With Metadata - Information Architecture Summit 2012 (20)

Data Science - Part XI - Text Analytics
Data Science - Part XI - Text AnalyticsData Science - Part XI - Text Analytics
Data Science - Part XI - Text Analytics
 
Semantic web xml-rdf-dom parser
Semantic web xml-rdf-dom parserSemantic web xml-rdf-dom parser
Semantic web xml-rdf-dom parser
 
Information Retrieval
Information Retrieval Information Retrieval
Information Retrieval
 
Web 3 Expert System
Web 3 Expert SystemWeb 3 Expert System
Web 3 Expert System
 
Web 3 Expert System
Web 3 Expert SystemWeb 3 Expert System
Web 3 Expert System
 
Django in enterprise world
Django in enterprise worldDjango in enterprise world
Django in enterprise world
 
Finding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic WebFinding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic Web
 
Semantic web
Semantic webSemantic web
Semantic web
 
Essential Elements of Excellent Multilingual Search
Essential Elements of Excellent Multilingual SearchEssential Elements of Excellent Multilingual Search
Essential Elements of Excellent Multilingual Search
 
XML Retrieval - A Slot Filling Approach
XML Retrieval - A Slot Filling ApproachXML Retrieval - A Slot Filling Approach
XML Retrieval - A Slot Filling Approach
 
Distributed Natural Language Processing Systems in Python
Distributed Natural Language Processing Systems in PythonDistributed Natural Language Processing Systems in Python
Distributed Natural Language Processing Systems in Python
 
Enterprise Search Share Point2009 Best Practices Final
Enterprise Search Share Point2009 Best Practices FinalEnterprise Search Share Point2009 Best Practices Final
Enterprise Search Share Point2009 Best Practices Final
 
Top JSON Interview Questions for Freshers
Top JSON Interview Questions for FreshersTop JSON Interview Questions for Freshers
Top JSON Interview Questions for Freshers
 
Generating docs from APIs
Generating docs from APIsGenerating docs from APIs
Generating docs from APIs
 
Frame-Script and Predicate logic.pptx
Frame-Script and Predicate logic.pptxFrame-Script and Predicate logic.pptx
Frame-Script and Predicate logic.pptx
 
CSHALS 2010 W3C Semanic Web Tutorial
CSHALS 2010 W3C Semanic Web TutorialCSHALS 2010 W3C Semanic Web Tutorial
CSHALS 2010 W3C Semanic Web Tutorial
 
Reflected Intelligence: Lucene/Solr as a self-learning data system
Reflected Intelligence: Lucene/Solr as a self-learning data systemReflected Intelligence: Lucene/Solr as a self-learning data system
Reflected Intelligence: Lucene/Solr as a self-learning data system
 
Introduction to Application Profiles
Introduction to Application ProfilesIntroduction to Application Profiles
Introduction to Application Profiles
 
Natural Language Search with Knowledge Graphs (Haystack 2019)
Natural Language Search with Knowledge Graphs (Haystack 2019)Natural Language Search with Knowledge Graphs (Haystack 2019)
Natural Language Search with Knowledge Graphs (Haystack 2019)
 
Reflected Intelligence - Lucene/Solr as a self-learning data system: Presente...
Reflected Intelligence - Lucene/Solr as a self-learning data system: Presente...Reflected Intelligence - Lucene/Solr as a self-learning data system: Presente...
Reflected Intelligence - Lucene/Solr as a self-learning data system: Presente...
 

More from aungstad

Transforming Folksonomy for the World Health Organization - IAS17 - Informati...
Transforming Folksonomy for the World Health Organization - IAS17 - Informati...Transforming Folksonomy for the World Health Organization - IAS17 - Informati...
Transforming Folksonomy for the World Health Organization - IAS17 - Informati...aungstad
 
IA Summit 2015 - Enterprise Taxonomy for FIFA
IA Summit 2015 - Enterprise Taxonomy for FIFAIA Summit 2015 - Enterprise Taxonomy for FIFA
IA Summit 2015 - Enterprise Taxonomy for FIFAaungstad
 
Enterprise Taxonomy for FIFA - World Information Architecture Day (WIAD) Swit...
Enterprise Taxonomy for FIFA - World Information Architecture Day (WIAD) Swit...Enterprise Taxonomy for FIFA - World Information Architecture Day (WIAD) Swit...
Enterprise Taxonomy for FIFA - World Information Architecture Day (WIAD) Swit...aungstad
 
Better User Experience for WordPress Sites
Better User Experience for WordPress SitesBetter User Experience for WordPress Sites
Better User Experience for WordPress Sitesaungstad
 
IAS13: Metadata in the Cross-Channel Ecosystem: Consistency, Context and Inte...
IAS13: Metadata in the Cross-Channel Ecosystem: Consistency, Context and Inte...IAS13: Metadata in the Cross-Channel Ecosystem: Consistency, Context and Inte...
IAS13: Metadata in the Cross-Channel Ecosystem: Consistency, Context and Inte...aungstad
 
UX Romandie Episode 14: Metadata in the Cross-Channel Ecosystem
UX Romandie Episode 14: Metadata in the Cross-Channel EcosystemUX Romandie Episode 14: Metadata in the Cross-Channel Ecosystem
UX Romandie Episode 14: Metadata in the Cross-Channel Ecosystemaungstad
 
Easy User Exerpience Improvements for Your WordPress Site - Make Your Site Ea...
Easy User Exerpience Improvements for Your WordPress Site - Make Your Site Ea...Easy User Exerpience Improvements for Your WordPress Site - Make Your Site Ea...
Easy User Exerpience Improvements for Your WordPress Site - Make Your Site Ea...aungstad
 

More from aungstad (7)

Transforming Folksonomy for the World Health Organization - IAS17 - Informati...
Transforming Folksonomy for the World Health Organization - IAS17 - Informati...Transforming Folksonomy for the World Health Organization - IAS17 - Informati...
Transforming Folksonomy for the World Health Organization - IAS17 - Informati...
 
IA Summit 2015 - Enterprise Taxonomy for FIFA
IA Summit 2015 - Enterprise Taxonomy for FIFAIA Summit 2015 - Enterprise Taxonomy for FIFA
IA Summit 2015 - Enterprise Taxonomy for FIFA
 
Enterprise Taxonomy for FIFA - World Information Architecture Day (WIAD) Swit...
Enterprise Taxonomy for FIFA - World Information Architecture Day (WIAD) Swit...Enterprise Taxonomy for FIFA - World Information Architecture Day (WIAD) Swit...
Enterprise Taxonomy for FIFA - World Information Architecture Day (WIAD) Swit...
 
Better User Experience for WordPress Sites
Better User Experience for WordPress SitesBetter User Experience for WordPress Sites
Better User Experience for WordPress Sites
 
IAS13: Metadata in the Cross-Channel Ecosystem: Consistency, Context and Inte...
IAS13: Metadata in the Cross-Channel Ecosystem: Consistency, Context and Inte...IAS13: Metadata in the Cross-Channel Ecosystem: Consistency, Context and Inte...
IAS13: Metadata in the Cross-Channel Ecosystem: Consistency, Context and Inte...
 
UX Romandie Episode 14: Metadata in the Cross-Channel Ecosystem
UX Romandie Episode 14: Metadata in the Cross-Channel EcosystemUX Romandie Episode 14: Metadata in the Cross-Channel Ecosystem
UX Romandie Episode 14: Metadata in the Cross-Channel Ecosystem
 
Easy User Exerpience Improvements for Your WordPress Site - Make Your Site Ea...
Easy User Exerpience Improvements for Your WordPress Site - Make Your Site Ea...Easy User Exerpience Improvements for Your WordPress Site - Make Your Site Ea...
Easy User Exerpience Improvements for Your WordPress Site - Make Your Site Ea...
 

Recently uploaded

Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 

Recently uploaded (20)

Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 

Better Cross-Channel Experiences With Metadata - Information Architecture Summit 2012

Editor's Notes

  1. enables findability
  2. Sometimes you want a broader contextSometimes you want a narrower context
  3. User facingNavigationTaxonomies & controlled vocabularies influence designLiquidDynamic
  4. Relational database format1:1, 1: Many relationshipsInfluences presentation If something is not stored properly it will not be displayed properly
  5. Semantic exchanges
  6. at least the ones that we are paid to design
  7. what was their last interaction like?
  8. what was their last interaction like?
  9. what was their last interaction like?
  10. watched star wars – mayber they’re interested in star trek