Enterprise Search, Helge Legernes, Findwise
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Enterprise Search, Helge Legernes, Findwise

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VidenDanmark afholdt den 8.10.2009 seminar om Enterprise Search Best Practice 2009. Ved seminaret var der præsentationer fra Findwise, Convergens, Scanjour, Metier, COWI og Creuna. Der blev......

VidenDanmark afholdt den 8.10.2009 seminar om Enterprise Search Best Practice 2009. Ved seminaret var der præsentationer fra Findwise, Convergens, Scanjour, Metier, COWI og Creuna. Der blev præsenteret en række søgeteknologier: Fast, Google Search Application, Autonomy, Sharepoint. Seminaret blev understøttet af et seminar 2.0 - system. Se hele dokumentationen på http://videndanmark.dk/8-10-Search-2009.441.0.html.

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  • 1. © FINDWISE 2008
    Beyond text search
    Søgeløsninger idag og imorgen
    København 8 oktober 2009
  • 2. Agenda
    • Findwise
    • 3. Søg idag – hovedområder og forskjeller
    • 4. Trender og eksempler
    • 5. Evt. noe om ROI
  • Findwise
    Your Partner In Finding The Right Information At The Right Time
    • Etablert 2005
    • 6. 33 Findability spesialister
    • 7. Etablert i
    • 8. Danmark
    • 9. Norge
    • 10. Sverige
    • 11. Konsulent selskap som bygger løsninger, basert på enterprise search plattformer, for informasjons intensive virksomheter
    Weleverage businessvaluewithsearchtechnology
  • 12. Findwise
    • > 60 Findability projekter
    • 13. Ekspert kompetanse innen implementasjoner basert på:
    • 14. Søg produkt plattformer
    • 15. Open source
  • Noen av våre kunder
  • 16. Søg
  • 17. Søgigår
    • Tekstbasert
    • 18. Lite bruker vennlig GUI
    • 19. Vertikalt
  • Tradisjonelt søg
    MAIL SEARCH
    DMS SEARCH
    SITE SEARCH
    CORPORATE
    SEARCH
    BI SEARCH
    ECOMMERCE
    SEARCH
    SITE SEARCH
    Mail
    System
    DMS,
    CMS
    Datamarts
    eMail
    Documents
    Intranet
    Documents
    Datawarehouse
    Intranet
    Documents
    RDBMS
    Legacy Data
    The Corporation
    ERP, CRM
  • Legacy Data
    Portals
    Rich Media
    XML Elements,
    XPath
    Internet
    RDBMS
    RSS Feeds,
    Data Streams
    DMS, CMS, Files
    Applications
    Email
    Søg som integrasjonsplattform
    Market Management Solutions
    Risk Management Solutions
    Surveillance & Enforcement Solutions
    Information Management Solutions
    eCommerce Solutions
    Online Media Solutions
    Mobile Solutions
    Corporate Operations Solutions
    Embedded Application Solutions
    Options
    Sökplattform
    UNSTRUCTURED
    STRUCTURED
  • 22. MONETIZATION: drive REVENUE/ COSTSAVING by
    creatinguniqueuserexperiencesthat match
    customers to relevant assets
    INFORMATION DISCOVERY: drive EFFECTIVENESS and COLLABORATION
    By creating interactive user experiences
    that match queries to relevant assets
    Hovedområder for søg løsninger
    Disse områder stiller forskjellig krav til søg plattformene !
  • 23. Hva er særeget med søg innen ”monetization” ?
    • Strukturert og ikke kompleks informasjon
    • 24. Få informasjons typer
    • 25. Få datakilder
    • 26. Faste navigatorer kan brukes
    • 27. Ikke triviellt å personifisere
    • 28. All data er ”offentlig” for alle brukere
    • 29. Brukeren er klar over hva han/honsøger etter
    • 30. Uinteressant med andre brukere, unntatt ”anbefalinger”
  • Hva er spesielt med søg innen ”information discovery” ?
    • Såvel strukturert som ustrukturert informasjon
    • 31. Kompleks informasjon
    • 32. Mange informasjons typer
    • 33. Mange datakilder
    • 34. Behov for intelligente navigatorer
    • 35. Behov for rollebasert søg
    • 36. Forskjellige behørighets nivåer
    • 37. Brukeren håper å finne informasjon som kan brukes
    • 38. Samarbeids parametere(Collaborative elements)
  • Søg
  • 1-2 keywords
    Large # of results
    Legacy Data
    Portals
    Rich Media
    XML Elements,
    XPath
    Internet
    RDBMS
    RSS Feeds,
    Data Streams
    DMS, CMS, Files
    Applications
    Email
    Beyond textual search – the interactive dialogue
    Facilitate a dialogue:
    - Basedon realtime content
    analysis
    - Differentkindsof
    navigationtechniques
    • Setof multiple contextualrelevancemodels
    Minimize # of hits
    and increase contextual
    relevance
    Interacts / guides the user to the information
  • 40. Differentcategoriesof ”heavyduty” ball bearings
    The system keepstrackof ”Peoplewithknowledge”, regardingthequerytopic
    Customersusingthis type ofbb
    Personalisedsearch – the system has storedcontextual info. abouttheuser, hence displays relevant information to for userlinked to thequery
    (here ball bearings for heavydutyminingmachines)
    Project documentation for projects run withthis type ofbb
    Interactive – collaborative search
    vs non interactive search
  • 41. Example: real time analysis of what people are reading
  • 42. User centric
    Trender idag
    • Personalisation / rolebasedsearch
    • 43. Peoplewithknowledge
    • 44. Searchanalytics
    • 45. analyse thequery log
    • 46. to understand theuser’s INTENT
    • 47. for tuning relevance and contentsources
  • We will see a more predictive approach by the search solutions
    Fremtiden
    • Coretechnology
    • 51. Developmentof more contentanalysis and indexalgorithms
    • 52. Predictiveanalysis
    • 53. Userinteraction
    • 54. Even furtherinteraction
    • 55. Understandingtheusers INTENT
    • 56. Understanding form ”where” theuser is searching
  • Fremtiden
    • More and more rich media on internet will accelerate the search technology within rich media
    • 57. From custom-made specialization to commodity
    • 58. Google – Similar images
    • 59. Automatic picture recognition
    • 60. Metadata
    • 61. Tags
    • 62. http://similar-images.googlelabs.com/
    • 63. Face recognition in cameras
    • 64. Will have more 3D on internet
    • 65. http://photosynth.net/Default.aspx
    • 66. User driven !
    • 67. Rich media navigationtechniques
  • Summering hovedtrender
    • Mere bruker interaksjon
    • 68. Mere avanserte dokumentprosserings algoritmer
    • 69. Søg utvikling mot Rich media
    • 70. Hva med cloud computing ?
  • User
    is king
    Bruker sentrisk dialog driven søgning !
    Understand
    Intent
    Understand
    content
    Facilitate
    dialogue
    Provide
    contextual
    relevance
  • 71. Spørgsmål
  • 72. Helge Legernes
    helge.legernes@findwise.se
    Tak!
  • 73. Dersom mer tid....
  • 74. Hva er nytten med søg innen ”information discovery” ?
    BETTER BUSINESS OUTCOME
    Searchindex
    Unlock business value tier 2
    Unlock business value tier 1
    Data Warehouse
    Media
    Applikationer
    RDBMS
    Lagretdata
    CMS
    Mail
    Internet
    Portal
    Strukturertdata
    Ustrukturert data
  • 75. ROI parametere
    • Tidbesparelse
    • 76. Bruker mindre tid til å søge
    • 77. Mer gennbruk av data
    • 78. Samarbeids effekter – Collborative effects
    • 79. Mer samarbeid
    • 80. Mer innovasjon
    • 81. Blandningen av søg innen strukturert og ustrukturert data kan gi feedback til:
    • 82. Produksjons prosessen
    • 83. Salgsprosessen
  • Leverandørene
  • 84. Hvordan velge løsning ?
    1
    Behov
    3
    2
    Källor
    Teknisk
    ”miljö”
  • 85. Kravbild
    Coresearch technology
    Arkitektur och skalbarhet
    Leverantören
    Krav
    Produkt
    Administrering och analysverktyg
    Konnektivitet och säkerhet
    © FINDWISE
  • 86. QUERY PROCESSING
    CONTENTREFINEMENT
    SEARCH
    RESULT PROCESSING
    Generic Search Platform Architecture
    Index content. Alert users proactively. Preserve context. Flexible schema.
    Enrich content for enhanced relevancy, automatic identification of entities, and semantic scopes.
    Transform user queries to leverage enhanced relevancy
    SEARCH
    STRUCTURED
    DATA
    UNSTRUCTURED
    DATA
    Apply business rule based ranking to results. Real-time analysis provides navigators
    Capture content from web sites, file servers, databases, content systems, and legacy app’s.
  • 87. STRUCTURED
    DATA
    QUERY PROCESSING
    CONTENTREFINEMENT
    UNSTRUCTURED
    DATA
    SEARCH
    RESULT PROCESSING
    RICH MEDIA
    Extended Search Platform, for rich media
    Speech to text
    Differentkindsof scene detectionsschemes
    Rich media detectioncapabilities
    SEARCH
    Differentstandalonesw
    Integratedsw
    All withpossibilities to import
    Metadata
    tools