From semantic platforms to semantic apps
- 1. From Semantic Platforms to Semantic AppsTime to focus on creatingthe nextgeneration of compellingsemanticexperience
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- 5. I – 2011 Trends
- 6. Whatischanging over the last years?Massive Explosion of Raw Unstructured Content
- 10. And nowit *REALLY* starts to impact all of us
- 11. “The volume of information flowing through organizations grows by200% per year”“80% of data is unstructured, doubling every month”“Fortune 1000 stands to waste at least $2.5 billion per year due to an inability to locate and retrieve information”“68% of employees recognize that it is difficult and time consuming to find information needed to do their job.”
- 16. Have we reached an inflection point?Are we assisting to a Search and Information Access Revival?
- 17. System of RecordSystem of EngagementSystem of AccessCommand & ControlCollaborativeCurate & FilterTransaction-orientedInteraction-orientedLink-orientedReference-centricData-centricUser-centricConsistency/Relevancy is a key issueSecurity is a key issuePrivacy is a key issueWeb 3.0Web 1.0Web 2.0SocialInformation AccessContent Lifecycle
- 18. II – Problems
- 19. Where are we in 2011?MobilitySocialCloudSemanticCMSUnlikely Match?
- 21. The One Week Reality Check
- 22. Monday / TechnicalFragmentation
- 23. “As of today, there are probably as many architectures as there are vendors in the domain. ”Dr Mario Lenz
- 24. Tuesday / MarketOpacity
- 25. “Expect consolidation, in a market with over 50 players, the exact solution for a given business problem might be a moving target for some time yet.”John Harney- KMWorld
- 27. “Any practical feedback on LSH with Random Projections vs LSH with MinHash for text clustering / duplication detection?”TweetfromOlivier GriselNuxeo
- 28. © Billy Cripe
- 29. Thursday / Lack of MultilanguageReadinessMost semantic technologies are stillonlyavailable in English
- 30. “Full Multingual Search: Holy Grail and still in a distant future.”Prof. Dr. Stefan Gradmann about the «Europeana» project - 2009
- 31. Friday / Scalability Issues
- 32. “The systems that do that today are slow and clunky and don’t scale to the kinds of data sets we do with – they’re not good for 150 million messages a day.”Nova Spivack
- 34. “A world of exhaustive, reliable metadata would be a utopia. It's also a pipe-dream, founded on self-delusion, nerd hubris and hysterically inflated market opportunities. ”Cory Doctorow
- 36. “You can invest a lot and not get any return.”Scott Brinker(in Top 10 reasons the Semantic Web is a lot like love)
- 37. We are still at this stage
- 38. Whenwe all expectedto bealreadyhere
- 39. Lots of promisesBut move more slowly than expected
- 40. Semanticcost+complexity vs user centeredadded value isstilla toofoggy storyProblems being solved are too theoricalPractical short-time client deliverables are still confusedLevel of skills required prevent widespread adoption
- 41. III–From Semantic PlatformsTo Semantic Apps
- 42. Semantic Platforms vs Semantic AppsSmart Email CapabilitiesEnhancedSearchExperienceDynamicLanding PagesRelatedContent WidgetContextual Content Discovery Plug-insPersonalized Content FeedsAdsTargettingLatent SemanticAnalysisRDF/OWLOntologiesEntitiesNatural LanguageProcessingRESTfulAPIData SchemaTripples
- 43. From the Geek to the Practitioner
- 44. From a monocultural stackTo a largerparadigm?
- 45. How technical research areas are approaching text and semantics?SemanticsSocial Network Analysisgraphs / networksComputationalLinguisticsText MiningInformation RetrievalSemantic WebMachine LearningWeb2.0interoperabilitylanguageanalyticsstatisticssearchcommunity© Marko Grobelnik – Jozef Stefan Institute
- 46. How do I approach Semantics?
- 47. Content & Data Interoperability
- 50. Smart SEO/AdsPersonalized Content DeliverySmartFeaturesDynamicTopical PagesIntelligent SearchEtc.User interfaces and applicationsTrustProofUnifying LogicSocialIntelligenceOntologies:OWLRules:RIF/SWRLQueryingBusinessIntelligenceCryptographyContent IntelligenceMiddlewareSPARQLSQLXPATHVectorSpaceModelsTaxonomies: RDFSInvertedKeywordIndexNLPData InterchangeCMISCMISRDFEDISyntaxCSVTXTXMLJSONProtocolRESTSOAPWEBDAVSMTPData InteroperabilityIdentifierPATHURICharacter SetUNICODEBINARYPersistanceNoSQL DBSQL DBTrippleStore
- 51. Content & Data Interoperability
- 53. Big DataThink Massive Volumes / Lots of Format
- 54. “RDF might be a very good choice for how to make that available, but it can’t be a religious choice. We have to look at the problem specifically and ask how does RDF or XML or anything else map to it. We’d consider it as a tool in our toolbox.”Nova Spivack
- 55. “The infrastructure needs of intelligent systems are now being met by a combination of Semantic Web, Linked Data, Web Services and Rule-based systems.”Jim Hendler - RPI
- 56. Job in progress.
- 58. Why the « Intelligence » layer does not take off?
- 59. “Ontology is Overrated!”Clay Shirky - 2005The Ontology Story isstillconfusedMost usage are still more « expert » systems than generic solutions
- 60. `The «smart» section of the Semantic Web: onlya fraction of the whole story?
- 61. Emergence of a new « Content Intelligence » industry
- 62. Content IntelligenceSocial and Behavioural IntelligenceBusiness IntelligenceAt the intersection of EntepriseSearch, BI, Analytics, Social and Content Management
- 63. Embracing the promise of turninganyrawdata into smart contentAutomated Information ClusteringTextMiningContent AnalyticsConnections to Linked Data RepoRule-based classificationNatural LanguageProcessingContent EnrichmentAn InfiniteComplexityProblem?
- 64. The All-Purposed Platform IssueIntellectually satisfying, concretely feasible?
- 65. Content Intelligence Middleware: To be or not to be?
- 66. Onlyone certainty: Think « Smart Inside » ratherthansimply « Semantic Web Ready »
- 68. And finallywhy are weimplementingthiswholestack?
- 69. Main Challenge: Finding the next Semantic Killer App
- 70. “10+ years into its inception, Semantic Web still has no clear killer app. It’s not clear if or when that app will emerge.”James KobielusForrester Group
- 72. “User Interfaces for Semantic Web:Do They Have to Be Ugly?”Andraz Tori, Zemanta – SemTech 2010
- 73. Never that any more!
- 75. “Let’s get serious about user experience design. It means utilizing your best engineers for more than just coding. “Marty Cagan
- 76. Refocus on enabling the nextSemanticExperienceEmotionalFun-to-useUser-centeredAddictivePleasurableContextual
- 78. “Somehow, I repeatedly run into a situation where some use of Semantic Web technologies that would make a nice end-user application is blocked by the fact that the user interface is the real challenge.” OraLassila - 2007
- 79. Amounts invested in Semantic UX vsSemantic TechStat source: Gut-feeling of Stephane Croisier
- 80. MultidiciplinaryTeam NeededUX GuruBig Data Rock StarSemantic JediPolyglot Analytics NinjaMarketLurker and SnifferContent Management Hero
- 81. IV – Smart CMS
- 82. MatchingSemantic TechnologieswithInformation Lifecycle and User Experience
- 83. A few Semantic User Stories braught to you byOngoing Internal R&D Efforts
- 84. How to empower a CMS…
- 85. … by bringingnew semantic value added?
- 87. Analyze your Information DNA1Let the user better know about your content assets
- 88. Content EnhancementsKeywords Concepts TagsCategoriesAutomatically enrich your unstructured content
- 89. Automatically enrich your unstructured content
- 91. Auto-Classification(Common Tags / Concepts / Categories)
- 92. Or providesemi-automated guidance for editors
- 93. SearchEngineEnhancements2Let the user findratherthansearch
- 94. SearchEnhancements &Automated SEO calibration
- 95. Dynamic Navigations3Let the user explore instead of searching
- 96. Drill-down, Filter and Mine into your information universe
- 98. DynamicGlossary
- 100. ConceptualMatch4Let the user find what he wants, not type
- 101. ConceptualMatchGet the needles out of the haystack without typing
- 102. Getrid of keywords limitations
- 103. Enhanced Search Box
- 106. Liquid InformationDiscovery5Let the user stick on your site
- 107. In-Context Content DiscoveryContextual Access to Public or PrivateFacingLinkedData RepositoriesDiscoveryengine to similar Content in pre-selectedContent Stores
- 108. « It’s like Augmented Reality for browsing the web. » Marshall Kirkpatrick, RWW
- 110. 6Ambiant FindabilityLet the user come back to your site
- 112. Contextual SimilaritiesAccess to the information your need right from within your context of use
- 113. 7Surface the bestAutomaticallylearnfromusers and provides a personalizedexperience
- 114. Surface the BestContent Recommendations/Predictions according to YOUR interests
- 115. Let the user favourite, subscribe or « like » itemsTo auto-populate its own information DNA
- 116. And automaticallyget new articles similar to yourinterests…
- 117. 8Curate the rest Let userscreate and sharetheirownSearch-based Application
- 118. FastGrowth of Semantic-ready and Search-focusedMicro-Sites
- 119. After the explosion of Blog, Wiki and ActivityStreams, the rise of CuratedSearchSpaces?
- 120. Conclusion( Standardized Data Interop layer+ Content Intelligence Middleware+ Smart Features)xCompelling User Experience_______________________Smart Content Apps for Tomorrow
- 121. Thanks for watching
- 122. InformationMost images from www.flickr.com (Image & licensing info in the notes section of slides)Presentation licensed: Creative Commons BY-NC-SAThe presentation can be downloaded from: www.slideshare.net/scroisierMore information about me: http://www.linkedin.com/in/scroisier
Editor's Notes
- #22: Reality from nualabugeye cc by nc sa
- #29: Courtesy of Billy Cripe (http://www.slideshare.net/billycripe/a-mavens-guide-to-ecm-best-practices)Flicker User: by nicholasjon creative commons attributionhttp://www.flickr.com/photos/nicholasjon/4643200251/sizes/l/in/photostream/
- #46: Courtesy of Marko Grobelnik ([email protected])Jozef Stefan Institute (http://www.ijs.si/)Slovenia, EuropeOriginal Slides: http://wims.vestforsk.no/slides/MarkoGrobelnikMladenic-WIMS2011.pptx
- #65: Courtesy of Billy Cripe (http://www.slideshare.net/billycripe/a-mavens-guide-to-ecm-best-practices)Feature bloatDo it because it canAsking the question “can my Semantic system do X” is not nearly as useful as asking “how can we achieve X with my sem tech ”Flicker User: everywhereisimagined creative commons attributionhttp://www.flickr.com/photos/everywhereisimagined/4688561335/sizes/l/in/photostream/
- #85: Heroes from videoplacebo is not cc by nc sa
- #122: Why I'm Going to Work for Zooomr from Thomas Hawk cc by nc