bX: Scholarly Recommender Services (and more…)

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    bX: Scholarly Recommender Services (and more…) - Presentation Transcript

    1. bX: Scholarly Recommender Services (and more…) SUAleph SVK HK, 8.4.2009 Jiří Pavlík, Jenny Walker
    2. New paradigm for search 2
    3. New paradigm for search “The Web, they say, is leaving the era of search and entering one of discovery. What's the difference? Search is what you do when you're looking for something. Discovery is when something wonderful that you didn't know existed, or didn't know how to ask for, finds you.“ Jeffrey M. O’Brien, "The race to create a 'smart' Google", http://money.cnn.com/magazines/fortune/ fortune_archive/2006/11/27/8394347/ 2
    4. Introducing bX • A new service that taps into the power of the networked scholarly community to generate recommendations based on article usage. • Based on data mining and structural analysis of aggregated usage data, across libraries and scholarly information environments • Derives from research done at Los Alamos National Laboratory by Johan Bollen and Herbert Van de Sompel 3
    5. bX Research 4
    6. bX Research 4
    7. bX Research http://public.lanl.gov/herbertv/ papers/jcdl06_accepted_version.pdf 4
    8. bX is built on the OpenURL Framework 5
    9. bX is built on the OpenURL Framework • Harvesting usage log files from link resolvers (SFX) 5
    10. bX is built on the OpenURL Framework • Harvesting usage log files from link resolvers (SFX) Using OpenURL context-object format Using OAI-PMH protocol for harvesting • Building a (very large) aggregate of usage data • Mining the aggregate to derive scholarly recommender services 5
    11. Linking – An Overlay Service Resource Layer 6
    12. Linking – An Overlay Service SFX Resource Layer 6
    13. Linking – An Overlay Service SFX L UR en Op Resource Layer 6
    14. Linking – An Overlay Service SFX L UR en Op Resource Layer 6
    15. Linking – An Overlay Service SFX Op en U L RL UR en Op Resource Layer 6
    16. Linking – An Overlay Service SFX Op en U L RL UR en Op Resource Layer 6
    17. Linking – An Overlay Service Open URL Linking Layer SFX Op en U L RL UR en Op Resource Layer 6
    18. The OpenURL framework • 2001: first link resolver deployed commercially – SFX from Ex Libris • 2009: wide participation from the scholarly world: • Estimated 3000+ link resolvers around the world (~1700 SFX sites alone) • All major information providers (A&I, online journal providers, Google and more) participate as a source of OpenURL links and/or as a target for linking • Link resolvers are a key hub of activity across a distributed set of resources 7
    19. The OpenURL framework • 2001: first link resolver deployed commercially – SFX from Ex Libris • 2009: wide participation from the scholarly world: • Estimated 3000+ link resolvers around the world (~1700 SFX sites alone) • All major information providers (A&I, online journal providers, Google and more) participate as a source of OpenURL links and/or as a target for linking • Link resolvers are a key hub of activity across a distributed set of resources • bX builds on this architecture 7
    20. Recommender – A New Overlay Service OpenURL Linking Layer SFX Resource Layer 8
    21. Recommender – A New Overlay Service SFX SFX OpenURL SFX Linking Layer SFX SFX SFX SFX SFX SFX SFX Resource Layer 8
    22. Recommender – A New Overlay Service bX SFX SFX OpenURL SFX Linking Layer SFX SFX SFX SFX SFX SFX SFX Resource Layer 8
    23. Recommender – A New Overlay Service bX SFX SFX OpenURL SFX Linking Layer SFX SFX SFX SFX SFX SFX SFX Resource Layer 8
    24. Recommender – A New Overlay Service bX OA H I-PM I-P M OA H SFX SFX OpenURL SFX Linking Layer SFX SFX SFX SFX SFX SFX SFX Resource Layer 8
    25. Recommender – A New Overlay Service Recommender Service Layer bX OA H I-PM I-P M OA H SFX SFX OpenURL SFX Linking Layer SFX SFX SFX SFX SFX SFX SFX Resource Layer 8
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    50. The bX Service – open interface 15
    51. The bX Service – open interface • Embedded in SFX 15
    52. The bX Service – open interface • Embedded in SFX • Accessible through: • OpenURL/XML • OpenURL/RSS • OpenURL/ATOM 15
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    55. bX Partners • Tsinghua University, China • Boston College, USA • University of Alberta, Canada • British Library, UK • University of Amsterdam, • California State University Consortium, USA Netherlands • Catholic University of • University of Chicago, USA Leuven, Belgium • University College London • Charles University, Prague (UCL), UK • ETH, Zurich, Switzerland • University of Manchester, UK • FineLib, Finland • University of Texas at Austin, • Imperial College, UK USA • Karolinska Institute, • University of Leiden, Sweden Netherlands • Monash University, • University of Stellenbosch, Australia South Africa • Princeton University, USA 17
    56. bX Partners • Tsinghua University, China • Boston College, USA • University of Alberta, Canada • British Library, UK • University of Amsterdam, • California State University Consortium, USA Netherlands • Catholic University of • University of Chicago, USA Leuven, Belgium • University College London • Charles University, Prague (UCL), UK • ETH, Zurich, Switzerland • University of Manchester, UK • FineLib, Finland • University of Texas at Austin, • Imperial College, UK USA • Karolinska Institute, • University of Leiden, Sweden Netherlands • Monash University, • University of Stellenbosch, Australia South Africa • Princeton University, USA Los Alamos as Development Partner 17
    57. bX Summary • A valuable tool that meets user expectations for up-to-date, Web 2.0-type services • First-of-its-kind service providing recommendations that are: • Relevant: • based on the analysis of tens of millions of information requests from hundreds of thousands of users and across multiple distributed resources • Offered at an article-level • Up-to-Date: includes current scholarly material • Easily Accessible: tightly integrated into scholarly search results • Standards-based and interoperable • A SaaS offering - nothing to install or maintain on your network 18
    58. A Scholarly Article Recommender Service Questions?
    59. Thank You! jiri.pavlik@multidata.cz

    + Jiri PavlikJiri Pavlik, 4 months ago

    custom

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    Introduction to bX recommendation services

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