SlideShare a Scribd company logo
1 of 70
Download to read offline
METADATA WORKSHOP
     Rachel Lovinger @rlovinger
     Content Strategy Applied
     March 1, 2012

Photo by wizetux
ABOUT ME: RACHEL LOVINGER                  2




• Associate Content Strategy Director,
  Razorfish, New York
• Co-editor of scatter/gather, a content
  strategy blog:
  http://scattergather.razorfish.com
• Author of Nimble: A Razorfish
  Report on Publishing in the
  Digital Age (June 2010):
  http://nimble.razorfish.com
  (@NimbleRF on Twitter)




  ©2012 Razorfish. All rights reserved.
  Photo by Rohanna Mertens
METADATA: DEFINED
WHAT IS METADATA?
MY DEFINITION                                               5




• Data is the core communication of a piece of content.

• Metadata is information about the content that provides
  structure, context and meaning.




  ©2012 Razorfish. All rights reserved.
Structure
Context
Meaning
TYPES OF METADATA                                                        9




• Structural Metadata
  • Models the content types and attributes

• Administrative Metadata
  • Indicates how, when and by whom the content was created
  • Defines how it can and will be used, its status, who can access it

• Descriptive Metadata
  • Describes the subject matter of the content
EXAMPLE METADATA                                    10



Title: Ta-dah!
Description: That’s a serious jello mold!
Tags: jello, layers, delicious
Appears in: Dinner (set)
Created by: Dan DeLuca
Taken on: February 14, 2010
Taken with: Fujifilm FinePix F70EXR
Usage Rights: CC-BY Some rights reserved
Source URL:
http://www.flickr.com/photos/dandeluca/4360567363




   ©2012 Razorfish. All rights reserved.
   Photo by Dan DeLuca `
STRUCTURAL METADATA                                             11



Title: Ta-dah!
Description: That’s a serious jello mold!
Tags: jello, layers, delicious
Appears in: Dinner (set)
Created by: Dan DeLuca
Taken on: February 14, 2010
Taken with: Fujifilm FinePix F70EXR
Usage Rights: CC-BY Some rights reserved
Source URL:
http://www.flickr.com/photos/dandeluca/4360567363


• Models the content types and attributes
• Answers the question “What constitutes a piece of content?”
• Example types: article, product, photo
   ©2012 Razorfish. All rights reserved.
   Photo by Dan DeLuca `
ADMINISTRATIVE METADATA                                          12



Title: Ta-dah!
Description: That’s a serious jello mold!
Tags: jello, layers, delicious
Appears in: Dinner (set)
Created by: Dan DeLuca
Taken on: February 14, 2010
Taken with: Fujifilm FinePix F70EXR
Usage Rights: CC-BY Some rights reserved
Source URL:
http://www.flickr.com/photos/dandeluca/4360567363


• Often machine generated
• Answers questions about the creation & status of the content
• Examples: Author, publish date, status, rights and access
   ©2012 Razorfish. All rights reserved.
   Photo by Dan DeLuca `
DESCRIPTIVE METADATA                                              13



Title: Ta-dah!
Description: That’s a serious jello mold!
Tags: jello, layers, delicious
Appears in: Dinner (set)
Created by: Dan DeLuca
Taken on: February 14, 2010
Taken with: Fujifilm FinePix F70EXR
Usage Rights: CC-BY Some rights reserved
Source URL:
http://www.flickr.com/photos/dandeluca/4360567363


• Describes the subject matter of the content
• Answers the question “What is this content about?”
• Examples: Keywords, subjects, title, description and abstract
   ©2012 Razorfish. All rights reserved.
   Photo by Dan DeLuca `
HOW METADATA IS USED
EXERCISE                                  15




Group Discussion: How is Metadata used?




  ©2012 Razorfish. All rights reserved.
SEARCH   16
BROWSE   17
CONTEXTUAL LINKING   18
AGGREGATION   19
SYNDICATION   20
ACCESS PERMISSIONS   21
PERSONALIZED CONTENT   22
HOW METADATA IS USED                      23




• Search
• Browse
• Contextual Linking
• Aggregation
• Syndication
• Access Permissions
• Personalized Content
• Advanced Functionality




  ©2012 Razorfish. All rights reserved.
CREATING METADATA
CREATING STRUCTURAL
METADATA
CREATING STRUCTURAL METADATA                                      26




Start with the Content Management System

1. Determine the content types.

2. Determine the elements that make up each type.

3. Determine any potential relationships between content types.




  ©2012 Razorfish. All rights reserved.
CONTENT MANAGEMENT SYSTEMS                27




Separate the information from
the presentation




  ©2012 Razorfish. All rights reserved.
DETERMINE THE CONTENT TYPES                                                                       28




• Which types of content are different enough that they might
  warrant a unique structure and/or layout?
• Article, quiz, slideshow, recipe and event are all fairly distinct.




  ©2012 Razorfish. All rights reserved.

  © A List Apart, Jeff Baker and Alex Graham, Washington Post, Food Network, and Barnes & Noble
DETERMINE THE ELEMENTS OF EACH TYPE                               29




• Figure out the separate elements, or attributes, of each one.
• Think about how each segment of information will be used.
• EX: Event

                  Event Name


                  Date & Time


                           Location




  ©2012 Razorfish. All rights reserved.
  Event © Barnes & Noble
DETERMINE RELATIONSHIPS BETWEEN TYPES                      30




• Content can be linked or embedded within another item.
• EX: The book & author each have their own page




                     Book Page


                  Author Page




  ©2012 Razorfish. All rights reserved.
  Event © Barnes & Noble
EXERCISE                                  31




Individual Task:
Structural Metadata
• Identify the content
  attributes & relationships
  in a recipe




  ©2012 Razorfish. All rights reserved.
  Recipe © Food Network
STRUCTURAL METADATA: RECIPE                 32




Content Attributes:
• Title
• Author
• Tags
• Time
•    Level
• Yield
•    Ingredients
•    Directions


    ©2012 Razorfish. All rights reserved.
    Recipe © Food Network
STRUCTURAL METADATA: RECIPE                 33




Relationships:
•    Show
•    Episode
•    Photo
•    Sub-Recipes
•    Glossary Terms
•    Related Guides/Menus
•    Recipes Like This




    ©2012 Razorfish. All rights reserved.
    Recipe © Food Network
CREATING ADMINISTRATIVE
METADATA
CREATING ADMINISTRATIVE METADATA                                                          35




Consider how the content is used, published, and delivered.

1. Identify functionality driven by administrative aspects of the
   content.

2. Determine preferred formats for administrative attributes.


Note: Administrative metadata tends to be used a lot more in digital records of offline
material, so you’ll see it utilized a lot in library and archive work.




   ©2012 Razorfish. All rights reserved.
CONSIDERATIONS                                                36




• Where did the content come from?
• Are there restrictions on how it can be used?
• Is the content time-sensitive or evergreen?
• Who can access it?
• When it’s archived or indexed, how will it be ordered?
• Does the content have to adhere to any legal regulations?




  ©2012 Razorfish. All rights reserved.
IDENTIFY FUNCTIONALITY                                              37




Dynamic functionality based on the status, date, permissions, or other
administrative aspects of the content.




  ©2012 Razorfish. All rights reserved.
DETERMINE FORMATS & VALUES                                                                      38




• Text Field
• Numbers
• DateTime
   • Can appear in a variety of formats, for example:
       - YYYY-MM-DDThh:mm:ss[.mmm]
       - 2012-03-01T11:00:00

• Boolean
   • True or False
• Selection List

Note: In order to reliably sort or filter content by administrative data, use the appropriate
format so that the data can be compared in a meaningful way.
   ©2012 Razorfish. All rights reserved.
EXERCISE                                                 39




Group Discussion: What kinds of functionality would be
supported by the following Administrative Metadata?

• Publish date
• Status
• Source
• Author
• Version
• Copyright



  ©2012 Razorfish. All rights reserved.
CREATING DESCRIPTIVE
METADATA
CREATING DESCRIPTIVE METADATA                                                          41




What is the content is about?

1. Determine the high level dimensions.

2. Determine the level of depth needed to support functionality.

3. Fill out the details in each dimension.


Note:There are a lot of things that can be described about any give content.To constrain
the scope, the aspects that are being described should also be based on data that’s needed
to drive functionality.




   ©2012 Razorfish. All rights reserved.
IDENTIFY FUNCTIONALITY                                           42




Dynamic functionality based on descriptive aspects of content.




  ©2012 Razorfish. All rights reserved.
HIGH LEVEL DIMENSIONS                                                          43




                                          Home Decorating
                                            Vocabulary



                                         Decorating     Decorating
        Rooms
                                           Styles        Solutions



                                                                  Source
                      Room Details               Home Items
                                                                Publications


 ©2012 Razorfish. All rights reserved.
LEVEL OF DEPTH NEEDED                                                  44




• Floors                                   -   Loose Material Floors
                                           -   Marble Floors
  • Concrete Floors
                                           -   Onyx Floors
  • Laminate Floors
                                           -   Quartzite Floors
      - Stone Laminate Floors
                                           -   Slate Floors
      - Wood Laminate Floors
                                           -   Terrazzo Floors
  • Metal Floors
                                           -   Travertine Floors
  • Resilient Floors
                                          • Wood Floors
      -   Cork Floors
                                           -   Bamboo Floors
      -   Leather Floors
                                           -   Cherry Floors
      -   Linoleum Floors
                                           -   Mahogany Floors
      -   Rubber Floors
                                           -   Maple Floors
      -   Vinyl Floors
                                           -   Oak Floors
  • Stone Floors                           -   Pecan Floors
      - Brick Floors                       -   Pine Floors
      - Granite Floors                     -   Teak Floors
      - Limestone Floors
  ©2012 Razorfish. All rights reserved.
FILL OUT THE DETAILS                                      45




• Hierarchical lists can be captured in a Word Document
• Spreadsheets for more detailed lists




  ©2012 Razorfish. All rights reserved.
EXERCISE                                                       46




Team Task: Superheroes
• Identify the high level dimensions to describe superheroes




  ©2012 Razorfish. All rights reserved.
  Characters © DC, Marvel & New England Comics
SUPERHEROES                                 47



• Name
    • Real Name
    • Primary Alias
    • Other Aliases
•   Group Affiliation
•   Source of Power
•   Type of Power
•   Identity
    • Public/Secret
•   Gender
•   Citizenship
•   Place of Birth
•   Current Residence
•   Marital Status
•   Relatives

    ©2012 Razorfish. All rights reserved.
    Chart © Pop Chart Lab
SUPERHEROES – META-METADATA               48




Data about the characters as characters
• Creator
• Licensed by
• First appearance
• Comics appearances
• Movie appearances
• Television appearances
• Other appearances
• Portrayed by


  ©2012 Razorfish. All rights reserved.
BREAK


©2012 Razorfish. All rights reserved.
METADATA SOURCES
SOURCING VOCABULARIES                     51




Where do you get all this metadata?

• Industry Standards

• Commercial & Open Vocabularies

• Your own content




  ©2012 Razorfish. All rights reserved.
INDUSTRY STANDARDS
INDUSTRY STANDARDS                                                 53




• Provide a good starting point for structural metadata that you can
  build upon
• Make your content more compliant with tools and APIs that also
  use the standards
• Enable more effective Search Engine Optimization




  ©2012 Razorfish. All rights reserved.
THREE FOUNDATIONAL STANDARDS                                        54




Many of the other standards are based on these:

• RDF/RDFa – a non-hierarchical structure for expressing metadata

• Dublin Core – a set of core attributes that can be used for any
  type of content

• Schema.org – a collection of frameworks for a wide range of
  content types, developed by a collaboration between Google, Bing
  & Yahoo!




  ©2012 Razorfish. All rights reserved.
RDF: RESOURCE DESCRIPTION FRAMEWORK                                                          55




• Provides a structure (aka framework) for describing identified
  things (aka resources)

• Composed of three basic elements
  • Resources – the things being described (Ex: “Men In Black”)
  • Properties – the relationships between things (Ex: “hasStar”)
  • Classes – the buckets used to group the things (Ex: “Movie”)

• Elements combine to make simple statements called Triples
                                                           • Men In Black is a Movie
         Movie                                Actor
                                                           • Will Smith is an Actor
          typeOf                               typeOf
                                                           • Men In Black stars Will Smith
                                                         <MenInBlack> <hasStar> <WillSmith>
   Men In Black                   hasStar   Will Smith


  ©2012 Razorfish. All rights reserved.
RDFA: RDF IN ATTRIBUTES                                          56




• Allows RDF attributes and properties to be included in XHTML
  and HTML documents.

    <div>
    <div xmlns:dc="http://purl.org/dc/elements/1.1/">
       <h2 property="dc:title">The trouble with Bob</h2>
       <h2>The trouble with Bob</h2>
       <h3 property="dc:creator">Alice</h3>
       <h3>Alice</h3>
       …
    </div>

• For more information see: http://rdfa.info/




  ©2012 Razorfish. All rights reserved.
DUBLIN CORE METADATA INITIATIVE                                                  57




• A metadata framework for describing any type of content
• Example attributes:
  • Name: The unique term that identifies the item
  • Label: The human-readable label assigned to the term
  • Definition: A description of the term.
• Example properties:
  •   abstract: A summary of the item
  •   audience: The intended audience for the item
  •   creator: A person, organization or service responsible for creating the item
  •   license: Indicates usage rights for the item
  •   subject: The topic of the item

• For more information see: http://dublincore.org/


  ©2012 Razorfish. All rights reserved.
SCHEMA.ORG                                                           58




• A collaboration between Google, Bing and Yahoo!
• Intended to improve the display of search results by directly
  including valuable data right
• Includes formats for marking up the following common types of
  content (as well as many others):
  •   Creative works (such as Books, Movies, Music, Recipes, etc.)
  •   Non-text objects (such as Audio, Image,Video)
  •   Events
  •   Organizations
  •   Persons
  •   Places
  •   Products & Offers
  •   Reviews
• For more information see: http://schema.org/
  ©2012 Razorfish. All rights reserved.
STANDARDS FOR SPECIFIC TYPES OF CONTENT                                                59



• For Journalism
  • PRISM = Publishing Requirements for Industry Standard Metadata
  • NewsML for news, news metadata, and news management metadata
  • rNews uses RDFa to express news-specific metadata in news content

• For Images
  • EXIF = Exchangeable Image File Format, data embedded by digital cameras
  • XMP = Extensible Metadata Platform, developed by Adobe
  • ITPC Photo Metadata for professional news and stock photos

• For Videos
  • MPEG-7 from the Moving Picture Experts Group, add data to audio and video
  • Media RSS a flavor of RSS that allows for detailed info about media

• For Social Connections
  • FOAF = Friend of a Friend, describes people, their connections & creations
  • SIOC = Semantically-Interlinked Online Communities, incorporates social networks

• For Products
  • Good Relations for E-commerce
  ©2012 Razorfish. All rights reserved.
RNEWS                                     60




• Uses RDFa to express news-specific
  metadata
• Coordinated with Schema.org
• Used by the New York Times


• For more information see:
  http://dev.iptc.org/rNews




  ©2012 Razorfish. All rights reserved.
  Article © The Wall Street Journal
EXERCISE                                  61




Team Task: Apply a standard
• Determine how the properties of
  rNews would be applied to the
  sample content
• Start by looking through the
  specification to see which properties
  seem likely to be applicable




  ©2012 Razorfish. All rights reserved.
  Article © The Wall Street Journal
COMMERCIAL & OPEN
VOCABULARIES
COMMERCIAL & OPEN VOCABULARIES                                   63




• Provide descriptive metadata, often for a specific knowledge
  domain
• Can hook into other data or content that may be used to augment
  your own
• Will probably need to be expanded or modified
• Commercial vocabularies may be expensive to license, but
  commercially supported
• Open vocabularies are free to use, but may not be as well
  supported




  ©2012 Razorfish. All rights reserved.
USEFUL RESOURCES                                              64




• WAND Inc – commercial taxonomies and tools

• WordNet – a lexical database for English

• Taxonomy Warehouse – a searchable directory of commercial
  and open taxonomies

• Linked Data – open data sets on the web




  ©2012 Razorfish. All rights reserved.
LINKED OPEN DATA – FEBRUARY 2008                65




Diagram by Richard Cyganiak and Anja Jentzsch
LINKED OPEN DATA – SEPTEMBER 2011               66




Diagram by Richard Cyganiak and Anja Jentzsch
YOUR OWN CONTENT
YOUR OWN CONTENT                                                      68




• Navigation, current classification and other site functionality should
  be leveraged as a starting point for any new metadata development
• Offline resources can also provide inputs
• Evaluate current site organization to make sure you’re not carrying
  over structures that are obsolete
• Consider future functionality to make sure you have accounted for
  additional needs
• Entity extraction tools (there are many out there) can evaluate
  large amounts of content and automatically generate metadata




  ©2012 Razorfish. All rights reserved.
YOUR OWN CONTENT                         69




 ©2012 Razorfish. All rights reserved.
 © NME
FINAL EXERCISE                                                       70




Group Discussion: Identify Sources of Metadata
• Pretend you’re going to redesign nme.com
• Identify possible sources of metadata you would use –
  including standards, commercial or open data sets, and data from
  the site itself.




  ©2012 Razorfish. All rights reserved.
  © NME

More Related Content

What's hot

Reengineering The IT Operating Model to Embrace The Power Of The Cloud
Reengineering The IT Operating Model to Embrace The Power Of The CloudReengineering The IT Operating Model to Embrace The Power Of The Cloud
Reengineering The IT Operating Model to Embrace The Power Of The Cloudaccenture
 
Time to Talk about Data Mesh
Time to Talk about Data MeshTime to Talk about Data Mesh
Time to Talk about Data MeshLibbySchulze
 
Data Governance Best Practices
Data Governance Best PracticesData Governance Best Practices
Data Governance Best PracticesDATAVERSITY
 
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...Denodo
 
DataEd Online: Data Architecture and Data Modeling Differences — Achieving a ...
DataEd Online: Data Architecture and Data Modeling Differences — Achieving a ...DataEd Online: Data Architecture and Data Modeling Differences — Achieving a ...
DataEd Online: Data Architecture and Data Modeling Differences — Achieving a ...DATAVERSITY
 
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021Tristan Baker
 
Building an Enterprise Knowledge Graph @Uber: Lessons from Reality
Building an Enterprise Knowledge Graph @Uber: Lessons from RealityBuilding an Enterprise Knowledge Graph @Uber: Lessons from Reality
Building an Enterprise Knowledge Graph @Uber: Lessons from RealityJoshua Shinavier
 
Architecting Agile Data Applications for Scale
Architecting Agile Data Applications for ScaleArchitecting Agile Data Applications for Scale
Architecting Agile Data Applications for ScaleDatabricks
 
ODSC May 2019 - The DataOps Manifesto
ODSC May 2019 - The DataOps ManifestoODSC May 2019 - The DataOps Manifesto
ODSC May 2019 - The DataOps ManifestoDataKitchen
 
Modernizing to a Cloud Data Architecture
Modernizing to a Cloud Data ArchitectureModernizing to a Cloud Data Architecture
Modernizing to a Cloud Data ArchitectureDatabricks
 
Washington DC DataOps Meetup -- Nov 2019
Washington DC DataOps Meetup   -- Nov 2019Washington DC DataOps Meetup   -- Nov 2019
Washington DC DataOps Meetup -- Nov 2019DataKitchen
 
BI Consultancy - Data, Analytics and Strategy
BI Consultancy - Data, Analytics and StrategyBI Consultancy - Data, Analytics and Strategy
BI Consultancy - Data, Analytics and StrategyShivam Dhawan
 
Building the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake AnalyticsBuilding the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake AnalyticsKhalid Salama
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
 
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DATAVERSITY
 
Knowledge Graphs - The Power of Graph-Based Search
Knowledge Graphs - The Power of Graph-Based SearchKnowledge Graphs - The Power of Graph-Based Search
Knowledge Graphs - The Power of Graph-Based SearchNeo4j
 
MLOps journey at Swisscom: AI Use Cases, Architecture and Future Vision
MLOps journey at Swisscom: AI Use Cases, Architecture and Future VisionMLOps journey at Swisscom: AI Use Cases, Architecture and Future Vision
MLOps journey at Swisscom: AI Use Cases, Architecture and Future VisionBATbern
 
Databricks Fundamentals
Databricks FundamentalsDatabricks Fundamentals
Databricks FundamentalsDalibor Wijas
 
Best Practices in Metadata Management
Best Practices in Metadata ManagementBest Practices in Metadata Management
Best Practices in Metadata ManagementDATAVERSITY
 

What's hot (20)

Reengineering The IT Operating Model to Embrace The Power Of The Cloud
Reengineering The IT Operating Model to Embrace The Power Of The CloudReengineering The IT Operating Model to Embrace The Power Of The Cloud
Reengineering The IT Operating Model to Embrace The Power Of The Cloud
 
Time to Talk about Data Mesh
Time to Talk about Data MeshTime to Talk about Data Mesh
Time to Talk about Data Mesh
 
Data Governance Best Practices
Data Governance Best PracticesData Governance Best Practices
Data Governance Best Practices
 
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...
 
DataEd Online: Data Architecture and Data Modeling Differences — Achieving a ...
DataEd Online: Data Architecture and Data Modeling Differences — Achieving a ...DataEd Online: Data Architecture and Data Modeling Differences — Achieving a ...
DataEd Online: Data Architecture and Data Modeling Differences — Achieving a ...
 
Semantic search
Semantic searchSemantic search
Semantic search
 
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
 
Building an Enterprise Knowledge Graph @Uber: Lessons from Reality
Building an Enterprise Knowledge Graph @Uber: Lessons from RealityBuilding an Enterprise Knowledge Graph @Uber: Lessons from Reality
Building an Enterprise Knowledge Graph @Uber: Lessons from Reality
 
Architecting Agile Data Applications for Scale
Architecting Agile Data Applications for ScaleArchitecting Agile Data Applications for Scale
Architecting Agile Data Applications for Scale
 
ODSC May 2019 - The DataOps Manifesto
ODSC May 2019 - The DataOps ManifestoODSC May 2019 - The DataOps Manifesto
ODSC May 2019 - The DataOps Manifesto
 
Modernizing to a Cloud Data Architecture
Modernizing to a Cloud Data ArchitectureModernizing to a Cloud Data Architecture
Modernizing to a Cloud Data Architecture
 
Washington DC DataOps Meetup -- Nov 2019
Washington DC DataOps Meetup   -- Nov 2019Washington DC DataOps Meetup   -- Nov 2019
Washington DC DataOps Meetup -- Nov 2019
 
BI Consultancy - Data, Analytics and Strategy
BI Consultancy - Data, Analytics and StrategyBI Consultancy - Data, Analytics and Strategy
BI Consultancy - Data, Analytics and Strategy
 
Building the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake AnalyticsBuilding the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake Analytics
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business Goals
 
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...
 
Knowledge Graphs - The Power of Graph-Based Search
Knowledge Graphs - The Power of Graph-Based SearchKnowledge Graphs - The Power of Graph-Based Search
Knowledge Graphs - The Power of Graph-Based Search
 
MLOps journey at Swisscom: AI Use Cases, Architecture and Future Vision
MLOps journey at Swisscom: AI Use Cases, Architecture and Future VisionMLOps journey at Swisscom: AI Use Cases, Architecture and Future Vision
MLOps journey at Swisscom: AI Use Cases, Architecture and Future Vision
 
Databricks Fundamentals
Databricks FundamentalsDatabricks Fundamentals
Databricks Fundamentals
 
Best Practices in Metadata Management
Best Practices in Metadata ManagementBest Practices in Metadata Management
Best Practices in Metadata Management
 

Similar to The level of depth shown here would support filtering and browsing content by floor type. Going deeper may not be needed to drive key experiences. ©2012 Razorfish. All rights reserved

Make Your Content Nimble - Sem Tech UK
Make Your Content Nimble - Sem Tech UKMake Your Content Nimble - Sem Tech UK
Make Your Content Nimble - Sem Tech UKRachel Lovinger
 
Make Your Content Nimble - Confab
Make Your Content Nimble - ConfabMake Your Content Nimble - Confab
Make Your Content Nimble - ConfabRachel Lovinger
 
Empowering Your Audience Ambassadors with Semantic Publishing
Empowering Your Audience Ambassadors with Semantic Publishing Empowering Your Audience Ambassadors with Semantic Publishing
Empowering Your Audience Ambassadors with Semantic Publishing Rachel Lovinger
 
Taming Information Chaos in SharePoint 2010
Taming Information Chaos in SharePoint 2010Taming Information Chaos in SharePoint 2010
Taming Information Chaos in SharePoint 2010Eric Shupps
 
TCUK 2012, Nolwenn Kerzreho, Metadata: Why Should Technical Communicators Care?
TCUK 2012, Nolwenn Kerzreho, Metadata: Why Should Technical Communicators Care?TCUK 2012, Nolwenn Kerzreho, Metadata: Why Should Technical Communicators Care?
TCUK 2012, Nolwenn Kerzreho, Metadata: Why Should Technical Communicators Care?TCUK Conference
 
SEAD Datanet and Sustainability Science
SEAD Datanet and Sustainability Science SEAD Datanet and Sustainability Science
SEAD Datanet and Sustainability Science Robert H. McDonald
 
An introduction to Metadata Application Profiles
An introduction to Metadata Application ProfilesAn introduction to Metadata Application Profiles
An introduction to Metadata Application Profileskcoylenet
 
3-27-12 Preservation & Archiving Highlights from ADR - Presentation Slides
3-27-12 Preservation & Archiving Highlights from ADR - Presentation Slides3-27-12 Preservation & Archiving Highlights from ADR - Presentation Slides
3-27-12 Preservation & Archiving Highlights from ADR - Presentation SlidesDuraSpace
 
OSCON 2012 MongoDB Tutorial
OSCON 2012 MongoDB TutorialOSCON 2012 MongoDB Tutorial
OSCON 2012 MongoDB TutorialSteven Francia
 
Nuxeo World Session: CMIS - What's Next?
Nuxeo World Session: CMIS - What's Next?Nuxeo World Session: CMIS - What's Next?
Nuxeo World Session: CMIS - What's Next?Nuxeo
 
Globe global search system oer asia_chibajapan_2012_10_15
Globe global search system oer asia_chibajapan_2012_10_15Globe global search system oer asia_chibajapan_2012_10_15
Globe global search system oer asia_chibajapan_2012_10_15FBergeron
 
Metadata makes the world go round 2
Metadata makes the world go round 2Metadata makes the world go round 2
Metadata makes the world go round 2robin fay
 
EDW2012_LexisNexis
EDW2012_LexisNexisEDW2012_LexisNexis
EDW2012_LexisNexisJayne Dutra
 

Similar to The level of depth shown here would support filtering and browsing content by floor type. Going deeper may not be needed to drive key experiences. ©2012 Razorfish. All rights reserved (20)

Make Your Content Nimble - Sem Tech UK
Make Your Content Nimble - Sem Tech UKMake Your Content Nimble - Sem Tech UK
Make Your Content Nimble - Sem Tech UK
 
Make Your Content Nimble - Confab
Make Your Content Nimble - ConfabMake Your Content Nimble - Confab
Make Your Content Nimble - Confab
 
Empowering Your Audience Ambassadors with Semantic Publishing
Empowering Your Audience Ambassadors with Semantic Publishing Empowering Your Audience Ambassadors with Semantic Publishing
Empowering Your Audience Ambassadors with Semantic Publishing
 
Taming Information Chaos in SharePoint 2010
Taming Information Chaos in SharePoint 2010Taming Information Chaos in SharePoint 2010
Taming Information Chaos in SharePoint 2010
 
SharePoint for Records Management
SharePoint for Records ManagementSharePoint for Records Management
SharePoint for Records Management
 
TCUK 2012, Nolwenn Kerzreho, Metadata: Why Should Technical Communicators Care?
TCUK 2012, Nolwenn Kerzreho, Metadata: Why Should Technical Communicators Care?TCUK 2012, Nolwenn Kerzreho, Metadata: Why Should Technical Communicators Care?
TCUK 2012, Nolwenn Kerzreho, Metadata: Why Should Technical Communicators Care?
 
SEAD Datanet and Sustainability Science
SEAD Datanet and Sustainability Science SEAD Datanet and Sustainability Science
SEAD Datanet and Sustainability Science
 
An introduction to Metadata Application Profiles
An introduction to Metadata Application ProfilesAn introduction to Metadata Application Profiles
An introduction to Metadata Application Profiles
 
3-27-12 Preservation & Archiving Highlights from ADR - Presentation Slides
3-27-12 Preservation & Archiving Highlights from ADR - Presentation Slides3-27-12 Preservation & Archiving Highlights from ADR - Presentation Slides
3-27-12 Preservation & Archiving Highlights from ADR - Presentation Slides
 
NISO/DCMI Webinar: Metadata for Managing Scientific Research Data
NISO/DCMI Webinar: Metadata for Managing Scientific Research DataNISO/DCMI Webinar: Metadata for Managing Scientific Research Data
NISO/DCMI Webinar: Metadata for Managing Scientific Research Data
 
Sindice warehousing meetup
Sindice warehousing meetupSindice warehousing meetup
Sindice warehousing meetup
 
OSCON 2012 MongoDB Tutorial
OSCON 2012 MongoDB TutorialOSCON 2012 MongoDB Tutorial
OSCON 2012 MongoDB Tutorial
 
MongoDB for Genealogy
MongoDB for GenealogyMongoDB for Genealogy
MongoDB for Genealogy
 
Nuxeo World Session: CMIS - What's Next?
Nuxeo World Session: CMIS - What's Next?Nuxeo World Session: CMIS - What's Next?
Nuxeo World Session: CMIS - What's Next?
 
Zloch, Bosch, Wegener: A technical perspective...
Zloch, Bosch, Wegener: A technical perspective... Zloch, Bosch, Wegener: A technical perspective...
Zloch, Bosch, Wegener: A technical perspective...
 
2013.05 - IASSIST 2013 - 2
2013.05 - IASSIST 2013 - 22013.05 - IASSIST 2013 - 2
2013.05 - IASSIST 2013 - 2
 
Globe global search system oer asia_chibajapan_2012_10_15
Globe global search system oer asia_chibajapan_2012_10_15Globe global search system oer asia_chibajapan_2012_10_15
Globe global search system oer asia_chibajapan_2012_10_15
 
Metadata Primer
Metadata PrimerMetadata Primer
Metadata Primer
 
Metadata makes the world go round 2
Metadata makes the world go round 2Metadata makes the world go round 2
Metadata makes the world go round 2
 
EDW2012_LexisNexis
EDW2012_LexisNexisEDW2012_LexisNexis
EDW2012_LexisNexis
 

More from Rachel Lovinger

Content Strategy as a Methodology
Content Strategy as a MethodologyContent Strategy as a Methodology
Content Strategy as a MethodologyRachel Lovinger
 
10 Things I Learned in 10 Years as a Content Strategist
10 Things I Learned in 10 Years as a Content Strategist10 Things I Learned in 10 Years as a Content Strategist
10 Things I Learned in 10 Years as a Content StrategistRachel Lovinger
 
Metadata is a Love Note to the Future
Metadata is a Love Note to the FutureMetadata is a Love Note to the Future
Metadata is a Love Note to the FutureRachel Lovinger
 
Content Auditing: Unearthing the Substance of Your Brand
Content Auditing: Unearthing the Substance of Your BrandContent Auditing: Unearthing the Substance of Your Brand
Content Auditing: Unearthing the Substance of Your BrandRachel Lovinger
 
Making of The DEFCON Documentary
Making of The DEFCON DocumentaryMaking of The DEFCON Documentary
Making of The DEFCON DocumentaryRachel Lovinger
 
Making of The DEFCON Documentary
Making of The DEFCON DocumentaryMaking of The DEFCON Documentary
Making of The DEFCON DocumentaryRachel Lovinger
 
Content Modelling Workshop Preview
Content Modelling Workshop PreviewContent Modelling Workshop Preview
Content Modelling Workshop PreviewRachel Lovinger
 
Content in the Age of Promiscuous Reuse
Content in the Age of Promiscuous ReuseContent in the Age of Promiscuous Reuse
Content in the Age of Promiscuous ReuseRachel Lovinger
 
Content Strategy: Why Now?
Content Strategy: Why Now?Content Strategy: Why Now?
Content Strategy: Why Now?Rachel Lovinger
 
Semantics in Publishing & Media
Semantics in Publishing & MediaSemantics in Publishing & Media
Semantics in Publishing & MediaRachel Lovinger
 
STC Summit 2010: Semantic Web and Content Strategy
STC Summit 2010: Semantic Web and Content StrategySTC Summit 2010: Semantic Web and Content Strategy
STC Summit 2010: Semantic Web and Content StrategyRachel Lovinger
 
Semantic Web and Content Strategy
Semantic Web and Content StrategySemantic Web and Content Strategy
Semantic Web and Content StrategyRachel Lovinger
 
The Rise and Fall of TOPICS
The Rise and Fall of TOPICSThe Rise and Fall of TOPICS
The Rise and Fall of TOPICSRachel Lovinger
 
Journey Towards Datameaningfulness
Journey Towards DatameaningfulnessJourney Towards Datameaningfulness
Journey Towards DatameaningfulnessRachel Lovinger
 
Representing Taxonomies: What am I looking at here?
Representing Taxonomies: What am I looking at here?Representing Taxonomies: What am I looking at here?
Representing Taxonomies: What am I looking at here?Rachel Lovinger
 
Metadata Strategies And Tools
Metadata Strategies And ToolsMetadata Strategies And Tools
Metadata Strategies And ToolsRachel Lovinger
 

More from Rachel Lovinger (20)

Content Strategy as a Methodology
Content Strategy as a MethodologyContent Strategy as a Methodology
Content Strategy as a Methodology
 
10 Things I Learned in 10 Years as a Content Strategist
10 Things I Learned in 10 Years as a Content Strategist10 Things I Learned in 10 Years as a Content Strategist
10 Things I Learned in 10 Years as a Content Strategist
 
Metadata is a Love Note to the Future
Metadata is a Love Note to the FutureMetadata is a Love Note to the Future
Metadata is a Love Note to the Future
 
Content Auditing: Unearthing the Substance of Your Brand
Content Auditing: Unearthing the Substance of Your BrandContent Auditing: Unearthing the Substance of Your Brand
Content Auditing: Unearthing the Substance of Your Brand
 
Making of The DEFCON Documentary
Making of The DEFCON DocumentaryMaking of The DEFCON Documentary
Making of The DEFCON Documentary
 
Making of The DEFCON Documentary
Making of The DEFCON DocumentaryMaking of The DEFCON Documentary
Making of The DEFCON Documentary
 
Content Modelling Workshop Preview
Content Modelling Workshop PreviewContent Modelling Workshop Preview
Content Modelling Workshop Preview
 
Content in the Age of Promiscuous Reuse
Content in the Age of Promiscuous ReuseContent in the Age of Promiscuous Reuse
Content in the Age of Promiscuous Reuse
 
Orchestrated Content
Orchestrated ContentOrchestrated Content
Orchestrated Content
 
Content Strategy: Why Now?
Content Strategy: Why Now?Content Strategy: Why Now?
Content Strategy: Why Now?
 
Semantics in Publishing & Media
Semantics in Publishing & MediaSemantics in Publishing & Media
Semantics in Publishing & Media
 
Nimble Report
Nimble ReportNimble Report
Nimble Report
 
STC Summit 2010: Semantic Web and Content Strategy
STC Summit 2010: Semantic Web and Content StrategySTC Summit 2010: Semantic Web and Content Strategy
STC Summit 2010: Semantic Web and Content Strategy
 
Semantic Web and Content Strategy
Semantic Web and Content StrategySemantic Web and Content Strategy
Semantic Web and Content Strategy
 
The Rise and Fall of TOPICS
The Rise and Fall of TOPICSThe Rise and Fall of TOPICS
The Rise and Fall of TOPICS
 
Content Gone Wild!
Content Gone Wild!Content Gone Wild!
Content Gone Wild!
 
Journey Towards Datameaningfulness
Journey Towards DatameaningfulnessJourney Towards Datameaningfulness
Journey Towards Datameaningfulness
 
RDF and OWL
RDF and OWLRDF and OWL
RDF and OWL
 
Representing Taxonomies: What am I looking at here?
Representing Taxonomies: What am I looking at here?Representing Taxonomies: What am I looking at here?
Representing Taxonomies: What am I looking at here?
 
Metadata Strategies And Tools
Metadata Strategies And ToolsMetadata Strategies And Tools
Metadata Strategies And Tools
 

Recently uploaded

From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 

Recently uploaded (20)

From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 

The level of depth shown here would support filtering and browsing content by floor type. Going deeper may not be needed to drive key experiences. ©2012 Razorfish. All rights reserved

  • 1. METADATA WORKSHOP Rachel Lovinger @rlovinger Content Strategy Applied March 1, 2012 Photo by wizetux
  • 2. ABOUT ME: RACHEL LOVINGER 2 • Associate Content Strategy Director, Razorfish, New York • Co-editor of scatter/gather, a content strategy blog: http://scattergather.razorfish.com • Author of Nimble: A Razorfish Report on Publishing in the Digital Age (June 2010): http://nimble.razorfish.com (@NimbleRF on Twitter) ©2012 Razorfish. All rights reserved. Photo by Rohanna Mertens
  • 5. MY DEFINITION 5 • Data is the core communication of a piece of content. • Metadata is information about the content that provides structure, context and meaning. ©2012 Razorfish. All rights reserved.
  • 9. TYPES OF METADATA 9 • Structural Metadata • Models the content types and attributes • Administrative Metadata • Indicates how, when and by whom the content was created • Defines how it can and will be used, its status, who can access it • Descriptive Metadata • Describes the subject matter of the content
  • 10. EXAMPLE METADATA 10 Title: Ta-dah! Description: That’s a serious jello mold! Tags: jello, layers, delicious Appears in: Dinner (set) Created by: Dan DeLuca Taken on: February 14, 2010 Taken with: Fujifilm FinePix F70EXR Usage Rights: CC-BY Some rights reserved Source URL: http://www.flickr.com/photos/dandeluca/4360567363 ©2012 Razorfish. All rights reserved. Photo by Dan DeLuca `
  • 11. STRUCTURAL METADATA 11 Title: Ta-dah! Description: That’s a serious jello mold! Tags: jello, layers, delicious Appears in: Dinner (set) Created by: Dan DeLuca Taken on: February 14, 2010 Taken with: Fujifilm FinePix F70EXR Usage Rights: CC-BY Some rights reserved Source URL: http://www.flickr.com/photos/dandeluca/4360567363 • Models the content types and attributes • Answers the question “What constitutes a piece of content?” • Example types: article, product, photo ©2012 Razorfish. All rights reserved. Photo by Dan DeLuca `
  • 12. ADMINISTRATIVE METADATA 12 Title: Ta-dah! Description: That’s a serious jello mold! Tags: jello, layers, delicious Appears in: Dinner (set) Created by: Dan DeLuca Taken on: February 14, 2010 Taken with: Fujifilm FinePix F70EXR Usage Rights: CC-BY Some rights reserved Source URL: http://www.flickr.com/photos/dandeluca/4360567363 • Often machine generated • Answers questions about the creation & status of the content • Examples: Author, publish date, status, rights and access ©2012 Razorfish. All rights reserved. Photo by Dan DeLuca `
  • 13. DESCRIPTIVE METADATA 13 Title: Ta-dah! Description: That’s a serious jello mold! Tags: jello, layers, delicious Appears in: Dinner (set) Created by: Dan DeLuca Taken on: February 14, 2010 Taken with: Fujifilm FinePix F70EXR Usage Rights: CC-BY Some rights reserved Source URL: http://www.flickr.com/photos/dandeluca/4360567363 • Describes the subject matter of the content • Answers the question “What is this content about?” • Examples: Keywords, subjects, title, description and abstract ©2012 Razorfish. All rights reserved. Photo by Dan DeLuca `
  • 15. EXERCISE 15 Group Discussion: How is Metadata used? ©2012 Razorfish. All rights reserved.
  • 16. SEARCH 16
  • 17. BROWSE 17
  • 23. HOW METADATA IS USED 23 • Search • Browse • Contextual Linking • Aggregation • Syndication • Access Permissions • Personalized Content • Advanced Functionality ©2012 Razorfish. All rights reserved.
  • 26. CREATING STRUCTURAL METADATA 26 Start with the Content Management System 1. Determine the content types. 2. Determine the elements that make up each type. 3. Determine any potential relationships between content types. ©2012 Razorfish. All rights reserved.
  • 27. CONTENT MANAGEMENT SYSTEMS 27 Separate the information from the presentation ©2012 Razorfish. All rights reserved.
  • 28. DETERMINE THE CONTENT TYPES 28 • Which types of content are different enough that they might warrant a unique structure and/or layout? • Article, quiz, slideshow, recipe and event are all fairly distinct. ©2012 Razorfish. All rights reserved. © A List Apart, Jeff Baker and Alex Graham, Washington Post, Food Network, and Barnes & Noble
  • 29. DETERMINE THE ELEMENTS OF EACH TYPE 29 • Figure out the separate elements, or attributes, of each one. • Think about how each segment of information will be used. • EX: Event Event Name Date & Time Location ©2012 Razorfish. All rights reserved. Event © Barnes & Noble
  • 30. DETERMINE RELATIONSHIPS BETWEEN TYPES 30 • Content can be linked or embedded within another item. • EX: The book & author each have their own page Book Page Author Page ©2012 Razorfish. All rights reserved. Event © Barnes & Noble
  • 31. EXERCISE 31 Individual Task: Structural Metadata • Identify the content attributes & relationships in a recipe ©2012 Razorfish. All rights reserved. Recipe © Food Network
  • 32. STRUCTURAL METADATA: RECIPE 32 Content Attributes: • Title • Author • Tags • Time • Level • Yield • Ingredients • Directions ©2012 Razorfish. All rights reserved. Recipe © Food Network
  • 33. STRUCTURAL METADATA: RECIPE 33 Relationships: • Show • Episode • Photo • Sub-Recipes • Glossary Terms • Related Guides/Menus • Recipes Like This ©2012 Razorfish. All rights reserved. Recipe © Food Network
  • 35. CREATING ADMINISTRATIVE METADATA 35 Consider how the content is used, published, and delivered. 1. Identify functionality driven by administrative aspects of the content. 2. Determine preferred formats for administrative attributes. Note: Administrative metadata tends to be used a lot more in digital records of offline material, so you’ll see it utilized a lot in library and archive work. ©2012 Razorfish. All rights reserved.
  • 36. CONSIDERATIONS 36 • Where did the content come from? • Are there restrictions on how it can be used? • Is the content time-sensitive or evergreen? • Who can access it? • When it’s archived or indexed, how will it be ordered? • Does the content have to adhere to any legal regulations? ©2012 Razorfish. All rights reserved.
  • 37. IDENTIFY FUNCTIONALITY 37 Dynamic functionality based on the status, date, permissions, or other administrative aspects of the content. ©2012 Razorfish. All rights reserved.
  • 38. DETERMINE FORMATS & VALUES 38 • Text Field • Numbers • DateTime • Can appear in a variety of formats, for example: - YYYY-MM-DDThh:mm:ss[.mmm] - 2012-03-01T11:00:00 • Boolean • True or False • Selection List Note: In order to reliably sort or filter content by administrative data, use the appropriate format so that the data can be compared in a meaningful way. ©2012 Razorfish. All rights reserved.
  • 39. EXERCISE 39 Group Discussion: What kinds of functionality would be supported by the following Administrative Metadata? • Publish date • Status • Source • Author • Version • Copyright ©2012 Razorfish. All rights reserved.
  • 41. CREATING DESCRIPTIVE METADATA 41 What is the content is about? 1. Determine the high level dimensions. 2. Determine the level of depth needed to support functionality. 3. Fill out the details in each dimension. Note:There are a lot of things that can be described about any give content.To constrain the scope, the aspects that are being described should also be based on data that’s needed to drive functionality. ©2012 Razorfish. All rights reserved.
  • 42. IDENTIFY FUNCTIONALITY 42 Dynamic functionality based on descriptive aspects of content. ©2012 Razorfish. All rights reserved.
  • 43. HIGH LEVEL DIMENSIONS 43 Home Decorating Vocabulary Decorating Decorating Rooms Styles Solutions Source Room Details Home Items Publications ©2012 Razorfish. All rights reserved.
  • 44. LEVEL OF DEPTH NEEDED 44 • Floors - Loose Material Floors - Marble Floors • Concrete Floors - Onyx Floors • Laminate Floors - Quartzite Floors - Stone Laminate Floors - Slate Floors - Wood Laminate Floors - Terrazzo Floors • Metal Floors - Travertine Floors • Resilient Floors • Wood Floors - Cork Floors - Bamboo Floors - Leather Floors - Cherry Floors - Linoleum Floors - Mahogany Floors - Rubber Floors - Maple Floors - Vinyl Floors - Oak Floors • Stone Floors - Pecan Floors - Brick Floors - Pine Floors - Granite Floors - Teak Floors - Limestone Floors ©2012 Razorfish. All rights reserved.
  • 45. FILL OUT THE DETAILS 45 • Hierarchical lists can be captured in a Word Document • Spreadsheets for more detailed lists ©2012 Razorfish. All rights reserved.
  • 46. EXERCISE 46 Team Task: Superheroes • Identify the high level dimensions to describe superheroes ©2012 Razorfish. All rights reserved. Characters © DC, Marvel & New England Comics
  • 47. SUPERHEROES 47 • Name • Real Name • Primary Alias • Other Aliases • Group Affiliation • Source of Power • Type of Power • Identity • Public/Secret • Gender • Citizenship • Place of Birth • Current Residence • Marital Status • Relatives ©2012 Razorfish. All rights reserved. Chart © Pop Chart Lab
  • 48. SUPERHEROES – META-METADATA 48 Data about the characters as characters • Creator • Licensed by • First appearance • Comics appearances • Movie appearances • Television appearances • Other appearances • Portrayed by ©2012 Razorfish. All rights reserved.
  • 49. BREAK ©2012 Razorfish. All rights reserved.
  • 51. SOURCING VOCABULARIES 51 Where do you get all this metadata? • Industry Standards • Commercial & Open Vocabularies • Your own content ©2012 Razorfish. All rights reserved.
  • 53. INDUSTRY STANDARDS 53 • Provide a good starting point for structural metadata that you can build upon • Make your content more compliant with tools and APIs that also use the standards • Enable more effective Search Engine Optimization ©2012 Razorfish. All rights reserved.
  • 54. THREE FOUNDATIONAL STANDARDS 54 Many of the other standards are based on these: • RDF/RDFa – a non-hierarchical structure for expressing metadata • Dublin Core – a set of core attributes that can be used for any type of content • Schema.org – a collection of frameworks for a wide range of content types, developed by a collaboration between Google, Bing & Yahoo! ©2012 Razorfish. All rights reserved.
  • 55. RDF: RESOURCE DESCRIPTION FRAMEWORK 55 • Provides a structure (aka framework) for describing identified things (aka resources) • Composed of three basic elements • Resources – the things being described (Ex: “Men In Black”) • Properties – the relationships between things (Ex: “hasStar”) • Classes – the buckets used to group the things (Ex: “Movie”) • Elements combine to make simple statements called Triples • Men In Black is a Movie Movie Actor • Will Smith is an Actor typeOf typeOf • Men In Black stars Will Smith <MenInBlack> <hasStar> <WillSmith> Men In Black hasStar Will Smith ©2012 Razorfish. All rights reserved.
  • 56. RDFA: RDF IN ATTRIBUTES 56 • Allows RDF attributes and properties to be included in XHTML and HTML documents. <div> <div xmlns:dc="http://purl.org/dc/elements/1.1/"> <h2 property="dc:title">The trouble with Bob</h2> <h2>The trouble with Bob</h2> <h3 property="dc:creator">Alice</h3> <h3>Alice</h3> … </div> • For more information see: http://rdfa.info/ ©2012 Razorfish. All rights reserved.
  • 57. DUBLIN CORE METADATA INITIATIVE 57 • A metadata framework for describing any type of content • Example attributes: • Name: The unique term that identifies the item • Label: The human-readable label assigned to the term • Definition: A description of the term. • Example properties: • abstract: A summary of the item • audience: The intended audience for the item • creator: A person, organization or service responsible for creating the item • license: Indicates usage rights for the item • subject: The topic of the item • For more information see: http://dublincore.org/ ©2012 Razorfish. All rights reserved.
  • 58. SCHEMA.ORG 58 • A collaboration between Google, Bing and Yahoo! • Intended to improve the display of search results by directly including valuable data right • Includes formats for marking up the following common types of content (as well as many others): • Creative works (such as Books, Movies, Music, Recipes, etc.) • Non-text objects (such as Audio, Image,Video) • Events • Organizations • Persons • Places • Products & Offers • Reviews • For more information see: http://schema.org/ ©2012 Razorfish. All rights reserved.
  • 59. STANDARDS FOR SPECIFIC TYPES OF CONTENT 59 • For Journalism • PRISM = Publishing Requirements for Industry Standard Metadata • NewsML for news, news metadata, and news management metadata • rNews uses RDFa to express news-specific metadata in news content • For Images • EXIF = Exchangeable Image File Format, data embedded by digital cameras • XMP = Extensible Metadata Platform, developed by Adobe • ITPC Photo Metadata for professional news and stock photos • For Videos • MPEG-7 from the Moving Picture Experts Group, add data to audio and video • Media RSS a flavor of RSS that allows for detailed info about media • For Social Connections • FOAF = Friend of a Friend, describes people, their connections & creations • SIOC = Semantically-Interlinked Online Communities, incorporates social networks • For Products • Good Relations for E-commerce ©2012 Razorfish. All rights reserved.
  • 60. RNEWS 60 • Uses RDFa to express news-specific metadata • Coordinated with Schema.org • Used by the New York Times • For more information see: http://dev.iptc.org/rNews ©2012 Razorfish. All rights reserved. Article © The Wall Street Journal
  • 61. EXERCISE 61 Team Task: Apply a standard • Determine how the properties of rNews would be applied to the sample content • Start by looking through the specification to see which properties seem likely to be applicable ©2012 Razorfish. All rights reserved. Article © The Wall Street Journal
  • 63. COMMERCIAL & OPEN VOCABULARIES 63 • Provide descriptive metadata, often for a specific knowledge domain • Can hook into other data or content that may be used to augment your own • Will probably need to be expanded or modified • Commercial vocabularies may be expensive to license, but commercially supported • Open vocabularies are free to use, but may not be as well supported ©2012 Razorfish. All rights reserved.
  • 64. USEFUL RESOURCES 64 • WAND Inc – commercial taxonomies and tools • WordNet – a lexical database for English • Taxonomy Warehouse – a searchable directory of commercial and open taxonomies • Linked Data – open data sets on the web ©2012 Razorfish. All rights reserved.
  • 65. LINKED OPEN DATA – FEBRUARY 2008 65 Diagram by Richard Cyganiak and Anja Jentzsch
  • 66. LINKED OPEN DATA – SEPTEMBER 2011 66 Diagram by Richard Cyganiak and Anja Jentzsch
  • 68. YOUR OWN CONTENT 68 • Navigation, current classification and other site functionality should be leveraged as a starting point for any new metadata development • Offline resources can also provide inputs • Evaluate current site organization to make sure you’re not carrying over structures that are obsolete • Consider future functionality to make sure you have accounted for additional needs • Entity extraction tools (there are many out there) can evaluate large amounts of content and automatically generate metadata ©2012 Razorfish. All rights reserved.
  • 69. YOUR OWN CONTENT 69 ©2012 Razorfish. All rights reserved. © NME
  • 70. FINAL EXERCISE 70 Group Discussion: Identify Sources of Metadata • Pretend you’re going to redesign nme.com • Identify possible sources of metadata you would use – including standards, commercial or open data sets, and data from the site itself. ©2012 Razorfish. All rights reserved. © NME