Enterprise 2.0 Use Cases for Semantic Web/Kiwi

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Enterprise 2.0 use cases around Manage Metadata, Apply Metadata, Exploit Metadata using Semantic Technologies

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  • Main Points: Introduce the disclaimer Questions: None Script: A few words to set context about what we will be talking about….
  • Enterprise 2.0 Use Cases for Semantic Web/Kiwi

    1. 1. <ul>Peter H. Reiser Principal Architect, Oracle Global Industries Business Unit </ul> Enterprise 2.0 Use Cases for Semantic Web/Kiwi
    2. 2. <ul>Oracle Safe Harbor Statement </ul><ul>The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle. </ul>
    3. 3. Enterprise Use Cases
    4. 4. Enterprise Use Cases Manage Metadata: Concept Model Management Evaluate combined bottom-up (folksonomy) and top-down (taxonomies) governance models Apply Metadata: Text Extraction/Tag Recommender Support for free and controlled tags and Oracle metadata business rules Exploit Metadata: Search/Browse/Discover Evaluating Standard KiWi Search
    5. 5. Manage Metadata <ul><li>Merge Oracle+Sun taxonomies and relate them where possible
    6. 6. Evaluate Bottom-up+Top-down governance models (Folksonomies and Taxonomies)
    7. 7. Manage taxonomies and tags using KiWi + PoolParty </li></ul><ul><li>Comparison to SunSpace (existing Enterprise 2.0 platform) </li><ul><li>We are already tagging , but we are managing the tags and their meanings in a rudimentary way
    8. 8. We need it as a crucial part of our infrastructure </li></ul></ul>
    9. 9. Concept Model Mngt. with PoolParty Exchange of thesaurus data between KiWi and PoolParty using Linked Data Free Controlled <ul>KiWi – Knowledge in a Wiki </ul>
    10. 10. Taxonomy modeling <ul><li>19 Thesauri
    11. 11. 5894 Concepts
    12. 12. 5902 prefLabels
    13. 13. 4937 altLabels
    14. 14. 923 hiddenLabels </li></ul>
    15. 15. Apply Metadata <ul><li>Comply with Oracle annotation practices </li><ul><li>Require usage of controlled taxonomies
    16. 16. Implement annotation business rules </li></ul><li>Merge with free tags (concepts) = bottom-up + top-down = folksonomy + taxonomy
    17. 17. Evaluate a new User Interface and interaction model to add free and controlled tags
    18. 18. Improve existing tag recommender with semantic-based technologies </li></ul>
    19. 19. Tag “Lifecycle” Overview 1 2 3 5 1. User tags document with a free tag 2. Tag gets transferred to PP 3. Turn into SKOS concept 4 . Transfer back to KiWi 5 . UI Presentation to the user 4 Free Free Concept Concept
    20. 20. Implemented solution <ul><li>Use Cases: </li></ul><ul><ul><li>Tag with one or more free / controlled tags
    21. 21. Taxonomies prefixes ('product:', 'region:'...)
    22. 22. Required taxonomies
    23. 23. Navigating through hierarchies </li><ul><li>Multi-select of controlled tags </li></ul><li>Tag Recommendation </li><ul><li>Both free and controlled tags </li></ul></ul></ul><ul><li>Back-end taxonomies modeling: </li></ul><ul><ul><li>SKOS + prefixes + other additional metadata
    24. 24. Rules for required taxonomies
    25. 25. 8 additional Web Services </li></ul></ul>
    26. 26. DEMO
    27. 27. <ul>Thanks ! </ul><ul><li>[email_address]
    28. 28. http://blogs.sun.com/peterreiser
    29. 29. http://twitter.com/peterreiser </li></ul>

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