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Michael S. Dunn

Semantic Web Media Summit

#semanticmedia | @glemak

New York – 09/14/11
Semantic Web & Media


•  Problem: State of Media & Content
   – The Media Industry has been in catch-up mode
     since the web started
   – How can we get ahead of the curve and maximize
     the utilization and value of our content?

•  Solution: Structuring of Content
   – Improve Production | Distribution
   – Enhance Consumption | Monetization
Semantic Web & Media


• The Constant Transitional State of Media
  – Traditional/Original: Shifted to the Web
  – Now: Social | Mobile | Local | Aggregation
  – Tomorrow: Expect More Demand
  – Focus: From Reactive to Proactive
  – Timing: Now or Sooner
Semantic Web & Media


•  Why Foster a Sense of Urgency
  – Velocity of Content Requests are Increasing
     •  Proliferation of Devices | Inbound Access
     •  Don’t Ignore IPv6
  – Markets are Continuously Changing
  – Audience Requirements are Shifting
     •  Real-Time | Niche | Thematic | Contextual
Semantic Web & Media


•  Hearst as an Example
  – Private | Diverse | Decentralized
  – Creating Content for Multiple Industries
  – TV | Magazines | Newspapers
  – Cable | B2B | Marketing | Web Only
  – Short Text | Long Form
  – Videos | Photos | Slideshows | Audio
Semantic Web & Media


•  Technology Assumptions
  – Existing Content Management Systems
     •  Content exists in Silos
     •  Mostly Single Use Content
     •  Both Centralized & Diverse
     •  Simple Processes Required
  – Limited Journalists | Editors | Creators
     •  Inability to Grow Staff to meet Demand
Semantic Web & Media


•  Technology Assumptions
  – Workflow changes are Complex
  – A Technology Stack Perspective
     •  Shift Focus from Commodity to Innovation
     •  Resources focused on Revenue Opportunities
Semantic Web & Media


•  Return on Investment for Content
  – What Markets exist for our Content?
  – Have we already “paid” for this content?
     •  By creating it ourselves
     •  By licensing it from others
     •  Via a related or partner entity
  – Analytics | Metrics Must Exist
     •  For Granular Content Elements
     •  Not just Pages Published
Semantic Web & Media




                       SEARCH



              > SEO                > CPM


                       CONTEXT




         CONTENT                   ADVERTISING
                       SENTIMENT
Semantic Web & Media


•  No Longer Just About Context of Content
  – Context of Audience is a Priority
  – Getting the Right Content
  – To the Right “Identity”
  – Via the Right Mechanism
  – At the Right Time
  – All Via Bucketed Personalization
Semantic Web & Media


•  Goal: Ability to Treat Content like Data
   – Organize it Better
   – Describe it Better
   – Discover it Better
   – Analyze it Better
   – Expose it Better
   – Repurpose it Better
Semantic Web & Media


•  Content as Data
  – Automated Metadata
  – Semi-Automated via Selection Process
  – Systemic via Devices | Tools
  – Content Optimization
     •  Cleansing | Normalizing
     •  Allow Self Describing
     •  Make it Harvestable
Semantic Web & Media


•  Content on the Web Assumptions
  – Google doesn’t trust Metadata
  – Aggregators Ignore Layout Preferences
  – SEO is a Constantly Changing Game
  – Audience | Traffic Drivers
     •  40% Brand | Marketing
     •  30% Search
     •  30% Social
Semantic Web & Media


•  What is the Semantic Web?
  – Descriptive Markup Techniques for Content
  – Links Associated with Content

  – Links Between Content Entities
  – Rich Metadata about Content

  – Meant to Foster Machine Readability
Semantic Web & Media


•  Semantics of Semantic Web
  – Do Not Get Overwhelmed by the Lexicon
  – Linked Data | Web 3.0

  – Ontology | Vocabulary | Taxonomy
  – Triples | Turtle | OWL | Sparql

  – rdf | rdfa | microdata | microformats
Semantic Web & Media


•  Why Media Industry should be interested in the
   Semantic Web

  – Create Efficiencies During Content Creation
  – Better Understand Content Already Available
  – Insure Discoverability of Content

  – Take Advantage of Opportunities
Semantic Web & Media


•  Structured Content Landscape
  – Community Driven Standards
  – RDFa
     •  W3C
     •  IPTC - rnews
     •  Facebook – Opengraph
  – Microformats
  – Linked Open Data
Linked Open Data
Semantic Web & Media


•  Structured Content Landscape
  – Microdata (html5)
     •  Schema.org
     •  Google Rich Snippets
     •  Focused Primarily on Search
     •  Vendor Driven - Community Critiqued
Semantic Web & Media


•  Structuring Content Creates
  – Deeper Entity Extraction
  – Generates Richer Metadata
  – Generates Better Tags & Links
  – Associates Related Content
  – Generates Reusable Structured Content
  – Improve Workflows
     •  Reporting | Research | Editorial | Production
Semantic Web & Media


•  Why is Structured Content More Relevant
  – Accessibility
  – Interoperability
  – Allows Value Assessment
  – Meaningful Relationships
  – Searchable
  – Discover Sentiment
  – Maximize Reusability
Semantic Web & Media


•  Value Your Content
  – Utilize Open Standards
  – Insure Data Portability
  – Aim for Broadest Solution
  – Avoid Vendor Lock-In
  – Own Your Structured Content

•  Consider Drupal
  – 2 Way Semantic CMS
Semantic Web & Media


•  Goals to Consider: Productivity
   – Reduce Time to Market
   – Increase Insight
   – Improve Consistency
   – Create a “Toolkit” for “Owned” Content
Semantic Web & Media


•  Goals to Consider: Content
  – Increase Usage
  – Lower Cost to Produce
  – Improve Discoverability
  – Leverage 2 Way Structured Content
Semantic Web & Media


•  Goals to Consider: Audience
  – Improve User Experience
  – Increase Levels of User Engagement

  – Allow Better Personalization & Targeting
  – Enable a Content API
Semantic Web & Media


•  Goals to Consider: Revenue
  – Enhance Existing Streams
  – Enable Net New Opportunities

  – Integrate with Semantic Ecosystem
     •  Advertising
     •  Search
     •  Social
     •  Aggregation
Semantic Web & Media (Framework)


              Search                                                                                                Social
            (SEO/SEM)                                                                                              Networks
                                                 Contextual Audience                                                (SMM)




     Advertising                                                                                                       Web
                                                                                                      Data
      Networks           Browser                  Mobile+                    Partners               Exchange         Services
                                                                                                                      (SAAS)


                         html        api        xml           microformats          rss         OWL       RDFa

                         tagging                                                                node specific
                                                          Layout Bus
                                           UX                                      sentiment

                                      machine-readable                             NLP        contextualization
      Analysis           metadata
                                                                                                                     CRM
                          entity
                                                        Semantic Bus                      relationships

                        extraction              findability                     syndication           attributes




                                                               Ontologies
                                                              Vocabularies
                         CMS                                   Categories                             DAM




<@glemak>
Semantic System Architecture (Inform)

                              Author 
                              ‣  Content Creation Services
                              ‣  Semantic Data Repository
                              ‣  Semantic Data Analysis
                              ‣  Content Selection Algorithms
                              ‣  Webservices
                              ‣  Content Distribution Services
                               Audience

                              Content Selection Algorithms
                              ‣  Semantic Analysis of Content
                              ‣  Algorithms > Editorial Criteria
                              ‣  Maximize Relevancy/Relatedness
                              ‣  Maximize Click-Through
                              ‣  Maximize Monetization
Semantic Web & Media


•  Utilization by Media Companies
  – Web Content Management
     •  Automated Topic Pages
     •  Text Mining | Entity Extraction
     •  Deep Categorization
     •  Related Content | Media | Tagging
  – Social Media

  – Business Intelligence
  – Recommendations
Semantic Web & Media

•  Focus on Semantic Web
  – Academia | Researchers | Standards |
    Entrepreneurs
  – Need Enterprise Engagement

•  How to Start…

  – Lead with Revenue Enhancement Opportunities
  – Show How to Solve Business Problems

  – Show How to Measure Results
http://about.me/glemak

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Mike Dunn Presentation

  • 1. Michael S. Dunn Semantic Web Media Summit #semanticmedia | @glemak New York – 09/14/11
  • 2. Semantic Web & Media •  Problem: State of Media & Content – The Media Industry has been in catch-up mode since the web started – How can we get ahead of the curve and maximize the utilization and value of our content? •  Solution: Structuring of Content – Improve Production | Distribution – Enhance Consumption | Monetization
  • 3. Semantic Web & Media • The Constant Transitional State of Media – Traditional/Original: Shifted to the Web – Now: Social | Mobile | Local | Aggregation – Tomorrow: Expect More Demand – Focus: From Reactive to Proactive – Timing: Now or Sooner
  • 4. Semantic Web & Media •  Why Foster a Sense of Urgency – Velocity of Content Requests are Increasing •  Proliferation of Devices | Inbound Access •  Don’t Ignore IPv6 – Markets are Continuously Changing – Audience Requirements are Shifting •  Real-Time | Niche | Thematic | Contextual
  • 5. Semantic Web & Media •  Hearst as an Example – Private | Diverse | Decentralized – Creating Content for Multiple Industries – TV | Magazines | Newspapers – Cable | B2B | Marketing | Web Only – Short Text | Long Form – Videos | Photos | Slideshows | Audio
  • 6. Semantic Web & Media •  Technology Assumptions – Existing Content Management Systems •  Content exists in Silos •  Mostly Single Use Content •  Both Centralized & Diverse •  Simple Processes Required – Limited Journalists | Editors | Creators •  Inability to Grow Staff to meet Demand
  • 7. Semantic Web & Media •  Technology Assumptions – Workflow changes are Complex – A Technology Stack Perspective •  Shift Focus from Commodity to Innovation •  Resources focused on Revenue Opportunities
  • 8. Semantic Web & Media •  Return on Investment for Content – What Markets exist for our Content? – Have we already “paid” for this content? •  By creating it ourselves •  By licensing it from others •  Via a related or partner entity – Analytics | Metrics Must Exist •  For Granular Content Elements •  Not just Pages Published
  • 9. Semantic Web & Media SEARCH > SEO > CPM CONTEXT CONTENT ADVERTISING SENTIMENT
  • 10. Semantic Web & Media •  No Longer Just About Context of Content – Context of Audience is a Priority – Getting the Right Content – To the Right “Identity” – Via the Right Mechanism – At the Right Time – All Via Bucketed Personalization
  • 11. Semantic Web & Media •  Goal: Ability to Treat Content like Data – Organize it Better – Describe it Better – Discover it Better – Analyze it Better – Expose it Better – Repurpose it Better
  • 12. Semantic Web & Media •  Content as Data – Automated Metadata – Semi-Automated via Selection Process – Systemic via Devices | Tools – Content Optimization •  Cleansing | Normalizing •  Allow Self Describing •  Make it Harvestable
  • 13. Semantic Web & Media •  Content on the Web Assumptions – Google doesn’t trust Metadata – Aggregators Ignore Layout Preferences – SEO is a Constantly Changing Game – Audience | Traffic Drivers •  40% Brand | Marketing •  30% Search •  30% Social
  • 14. Semantic Web & Media •  What is the Semantic Web? – Descriptive Markup Techniques for Content – Links Associated with Content – Links Between Content Entities – Rich Metadata about Content – Meant to Foster Machine Readability
  • 15. Semantic Web & Media •  Semantics of Semantic Web – Do Not Get Overwhelmed by the Lexicon – Linked Data | Web 3.0 – Ontology | Vocabulary | Taxonomy – Triples | Turtle | OWL | Sparql – rdf | rdfa | microdata | microformats
  • 16. Semantic Web & Media •  Why Media Industry should be interested in the Semantic Web – Create Efficiencies During Content Creation – Better Understand Content Already Available – Insure Discoverability of Content – Take Advantage of Opportunities
  • 17. Semantic Web & Media •  Structured Content Landscape – Community Driven Standards – RDFa •  W3C •  IPTC - rnews •  Facebook – Opengraph – Microformats – Linked Open Data
  • 19. Semantic Web & Media •  Structured Content Landscape – Microdata (html5) •  Schema.org •  Google Rich Snippets •  Focused Primarily on Search •  Vendor Driven - Community Critiqued
  • 20. Semantic Web & Media •  Structuring Content Creates – Deeper Entity Extraction – Generates Richer Metadata – Generates Better Tags & Links – Associates Related Content – Generates Reusable Structured Content – Improve Workflows •  Reporting | Research | Editorial | Production
  • 21. Semantic Web & Media •  Why is Structured Content More Relevant – Accessibility – Interoperability – Allows Value Assessment – Meaningful Relationships – Searchable – Discover Sentiment – Maximize Reusability
  • 22. Semantic Web & Media •  Value Your Content – Utilize Open Standards – Insure Data Portability – Aim for Broadest Solution – Avoid Vendor Lock-In – Own Your Structured Content •  Consider Drupal – 2 Way Semantic CMS
  • 23. Semantic Web & Media •  Goals to Consider: Productivity – Reduce Time to Market – Increase Insight – Improve Consistency – Create a “Toolkit” for “Owned” Content
  • 24. Semantic Web & Media •  Goals to Consider: Content – Increase Usage – Lower Cost to Produce – Improve Discoverability – Leverage 2 Way Structured Content
  • 25. Semantic Web & Media •  Goals to Consider: Audience – Improve User Experience – Increase Levels of User Engagement – Allow Better Personalization & Targeting – Enable a Content API
  • 26. Semantic Web & Media •  Goals to Consider: Revenue – Enhance Existing Streams – Enable Net New Opportunities – Integrate with Semantic Ecosystem •  Advertising •  Search •  Social •  Aggregation
  • 27. Semantic Web & Media (Framework) Search Social (SEO/SEM) Networks Contextual Audience (SMM) Advertising Web Data Networks Browser Mobile+ Partners Exchange Services (SAAS) html api xml microformats rss OWL RDFa tagging node specific Layout Bus UX sentiment machine-readable NLP contextualization Analysis metadata CRM entity Semantic Bus relationships extraction findability syndication attributes Ontologies Vocabularies CMS Categories DAM <@glemak>
  • 28. Semantic System Architecture (Inform) Author  ‣  Content Creation Services ‣  Semantic Data Repository ‣  Semantic Data Analysis ‣  Content Selection Algorithms ‣  Webservices ‣  Content Distribution Services  Audience Content Selection Algorithms ‣  Semantic Analysis of Content ‣  Algorithms > Editorial Criteria ‣  Maximize Relevancy/Relatedness ‣  Maximize Click-Through ‣  Maximize Monetization
  • 29. Semantic Web & Media •  Utilization by Media Companies – Web Content Management •  Automated Topic Pages •  Text Mining | Entity Extraction •  Deep Categorization •  Related Content | Media | Tagging – Social Media – Business Intelligence – Recommendations
  • 30. Semantic Web & Media •  Focus on Semantic Web – Academia | Researchers | Standards | Entrepreneurs – Need Enterprise Engagement •  How to Start… – Lead with Revenue Enhancement Opportunities – Show How to Solve Business Problems – Show How to Measure Results