From semantic platforms to semantic apps
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Keynote presentation from Stephane Croisier at the July 11 IKS Workshop on moving from semantic platforms to semantic applications

Keynote presentation from Stephane Croisier at the July 11 IKS Workshop on moving from semantic platforms to semantic applications

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  • Reality from nualabugeye cc by nc sa
  • 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/
  • Courtesy of Marko Grobelnik (marko.grobelnik@ijs.si)Jozef Stefan Institute (http://www.ijs.si/)Slovenia, EuropeOriginal Slides: http://wims.vestforsk.no/slides/MarkoGrobelnikMladenic-WIMS2011.pptx
  • 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/
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From semantic platforms to semantic apps From semantic platforms to semantic apps Presentation Transcript

  • From Semantic Platforms to Semantic Apps
    Time to focus on creatingthe nextgeneration of compellingsemanticexperience
  • By @scroisier
  • Email: scroisier@gmail.com
  • Sponsored by
  • I – 2011 Trends
  • Whatischanging over the last years?
    Massive Explosion of Raw Unstructured Content
  • Email Explosion
  • Document Explosion
  • Social Content Explosion
  • And nowit *REALLY* starts to impact all of us
  • “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.”
  • Infoglut’ssyndroms
    Procrastination
    Unefficiencies
    Overwhelming
    Frustration
  • Have we reached an inflection point?
    Are we assisting to a Search and Information Access Revival?
  • System of Record
    System of Engagement
    System of Access
    Command & Control
    Collaborative
    Curate & Filter
    Transaction-oriented
    Interaction-oriented
    Link-oriented
    Reference-centric
    Data-centric
    User-centric
    Consistency/Relevancy
    is a key issue
    Security is a key issue
    Privacy is a key issue
    Web 3.0
    Web 1.0
    Web 2.0
    Social
    Information Access
    Content Lifecycle
  • II – Problems
  • Where are we in 2011?
    Mobility
    Social
    Cloud
    Semantic
    CMS
    Unlikely Match?
  • Semanticsmeanstoomanydifferentthings for toomanypeople
  • The One Week Reality Check
  •  Monday / TechnicalFragmentation
  • “As of today, there are probably as many architectures as there are vendors in the domain. ”
    Dr Mario Lenz
  •  Tuesday / MarketOpacity
  • “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
  • Wednesday/ Complexity
  • “Any practical feedback on LSH with Random Projections vs LSH with MinHash for text clustering / duplication detection?”
    Tweetfrom
    Olivier Grisel
    Nuxeo
  • © Billy Cripe
  •  Thursday / Lack of MultilanguageReadiness
    Most semantic technologies are stillonlyavailable in English
  • “Full Multingual Search: Holy Grail and still in a distant future.”
    Prof. Dr. Stefan Gradmann about the «Europeana» project - 2009
  •  Friday / Scalability Issues
  • “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
  • Saturday / Fanatism
  • “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
  • Overselling
    Sunday / VendorOverselling
    Overexpectations
    Overpromises
  • “You can invest a lot and not get any return.”
    Scott Brinker
    (in Top 10 reasons the Semantic Web is a lot like love)
  • We are still at this stage
  • Whenwe all expectedto bealreadyhere
  • Lots of promises
    But move more slowly than expected
  • Semanticcost+complexity vs user centeredadded value isstilla toofoggy story
    Problems being solved are too theorical
    Practical short-time client deliverables are still confused
    Level of skills required prevent widespread adoption
  • III–From Semantic Platforms
    To Semantic Apps
  • Semantic Platforms vs Semantic Apps
    Smart Email Capabilities
    EnhancedSearchExperience
    DynamicLanding Pages
    RelatedContent Widget
    Contextual Content Discovery Plug-ins
    Personalized Content Feeds
    AdsTargetting
    Latent SemanticAnalysis
    RDF/OWL
    Ontologies
    Entities
    Natural LanguageProcessing
    RESTfulAPI
    Data Schema
    Tripples
  • From the Geek to the Practitioner
  • From a monocultural stack
    To a largerparadigm?
  • How technical research areas are approaching text and semantics?
    Semantics
    Social
    Network
    Analysis
    graphs /
    networks
    Computational
    Linguistics
    Text Mining
    Information
    Retrieval
    Semantic Web
    Machine
    Learning
    Web2.0
    interoperability
    language
    analytics
    statistics
    search
    community
    © Marko Grobelnik – Jozef Stefan Institute
  • How do I approach Semantics?
  • Content & Data Interoperability
  • Content Intelligence
    Middleware
  • Smart Content Apps
  • Smart SEO/Ads
    Personalized Content Delivery
    Smart
    Features
    DynamicTopical Pages
    Intelligent Search
    Etc.
    User interfaces and applications
    Trust
    Proof
    Unifying Logic
    Social
    Intelligence
    Ontologies:
    OWL
    Rules:
    RIF/SWRL
    Querying
    Business
    Intelligence
    Cryptography
    Content Intelligence
    Middleware
    SPARQL
    SQL
    XPATH
    Vector
    Space
    Models
    Taxonomies: RDFS
    Inverted
    Keyword
    Index
    NLP
    Data Interchange
    CMIS
    CMIS
    RDF
    EDI
    Syntax
    CSV
    TXT
    XML
    JSON
    Protocol
    REST
    SOAP
    WEBDAV
    SMTP
    Data
    Interoperability
    Identifier
    PATH
    URI
    Character Set
    UNICODE
    BINARY
    Persistance
    NoSQL DB
    SQL DB
    TrippleStore
  • Content & Data Interoperability
  • RDFa
    Whatisseeingcurrently the mostuse
  • Big Data
    Think Massive Volumes / Lots of Format
  • “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
  • “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
  • Job in progress.
  • Content Intelligence
    Middleware
  • Why the « Intelligence » layer does not take off?
  • “Ontology is Overrated!”
    Clay Shirky - 2005
    The Ontology Story isstillconfused
    Most usage are still more « expert » systems than generic solutions
  • `
    The «smart» section of the Semantic Web: onlya fraction of the whole story?
  • Emergence of a new « Content Intelligence » industry
  • Content Intelligence
    Social and Behavioural Intelligence
    Business Intelligence
    At the intersection of EntepriseSearch, BI, Analytics, Social and Content Management
  • Embracing the promise of turninganyrawdata into smart content
    Automated Information Clustering
    TextMining
    Content Analytics
    Connections to Linked Data Repo
    Rule-based classification
    Natural LanguageProcessing
    Content Enrichment
    An InfiniteComplexityProblem?
  • The All-Purposed Platform Issue
    Intellectually satisfying, concretely feasible?
  • Content Intelligence Middleware: To be or not to be?
  • Onlyone certainty: Think « Smart Inside » ratherthansimply « Semantic Web Ready »
  • Smart Content Apps
  • And finallywhy are weimplementingthiswholestack?
  • Main Challenge: Finding the next Semantic Killer App
  • “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
  • “User Interfaces for Semantic Web:
    Do They Have to Be Ugly?”
    Andraz Tori, Zemanta – SemTech 2010
  • Never that any more!
  • “Let’s get serious about
    user experience design. 
    It means utilizing your best engineers
    for more than just coding. “
    Marty Cagan
  • Refocus on enabling the nextSemanticExperience
    Emotional
    Fun-to-use
    User-centered
    Addictive
    Pleasurable
    Contextual
  • “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
  • Amounts invested in Semantic UX vsSemantic Tech
    Stat source: Gut-feeling of Stephane Croisier
  • MultidiciplinaryTeam Needed
    UX Guru
    Big Data Rock Star
    Semantic Jedi
    Polyglot Analytics Ninja
    MarketLurker and Sniffer
    Content Management Hero
  • IV – Smart CMS
  • MatchingSemantic Technologies
    withInformation Lifecycle and User Experience
  • A few Semantic User Stories braught to you by
    Ongoing Internal R&D Efforts
  • How to empower a CMS…
  • … by bringingnew semantic value added?
  • Analyze your
    Information DNA
    1
    Let the user better know about your content assets
  • Content Enhancements
    Keywords
    Concepts
    Tags
    Categories
    Automatically enrich your unstructured content
  • Automatically enrich your unstructured content
  • Entity Extraction
  • Auto-Classification
    (Common Tags / Concepts / Categories)
  • Or providesemi-automated guidance for editors
  • SearchEngine
    Enhancements
    2
    Let the user findratherthansearch
  • SearchEnhancements &
    Automated SEO calibration
  • Dynamic
    Navigations
    3
    Let the user explore instead of searching
  • Drill-down, Filter and Mine into your information universe
  • Semantic Navigation Components
  • DynamicGlossary
  • URL-FriendlyTopical Landing Pages
  • Conceptual
    Match
    4
    Let the user find what he wants, not type
  • ConceptualMatch
    Get the needles out of the haystack without typing
  • Getrid of keywords limitations
  • Enhanced Search Box
  • Liquid Information
    Discovery
    5
    Let the user stick on your site
  • In-Context Content Discovery
    Contextual Access to Public or PrivateFacingLinkedData Repositories
    Discoveryengine to similar Content in pre-selectedContent Stores
  • « It’s like Augmented Reality
    for browsing the web. »
    Marshall Kirkpatrick, RWW
  • Semantic Intertextualities
  • 6
    Ambiant Findability
    Let the user come back to your site
  • Contextual Similarities
    Access to the information your need right from within your context of use
  • 7
    Surface the best
    Automaticallylearnfromusers and
    provides a personalizedexperience
  • Surface the Best
    Content Recommendations/Predictions according to YOUR interests
  • Let the user favourite, subscribe or « like » items
    To auto-populate its own information DNA
  • And automaticallyget new articles similar to yourinterests…
  • 8
    Curate the rest
    Let userscreate and sharetheirown
    Search-based Application
  • FastGrowth of Semantic-ready and Search-focusedMicro-Sites
  • After the explosion of Blog, Wiki and ActivityStreams,
    the rise of CuratedSearchSpaces?
  • Conclusion
    ( Standardized Data Interop layer
    + Content Intelligence Middleware
    + Smart Features)
    xCompelling User Experience
    _______________________
    Smart Content Apps for Tomorrow
  • Thanks for watching
  • Information
    Most images from www.flickr.com (Image & licensing info in the notes section of slides)
    Presentation licensed: Creative Commons BY-NC-SA
    The presentation can be downloaded from: www.slideshare.net/scroisier
    More information about me: http://www.linkedin.com/in/scroisier