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Exposing and exploring academic expertise with virtu


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Exposing and exploring academic expertise with virtu

  1. 1. Exposing and ExploringAcademic Expertise with VirtuLuanne FreundKristof KesslerMichael HuggettEdie RasmussenUniversity of British Columbia, Canada 1 H I R 2012, C O ober 4-5, C br i dge, M ct am A
  2. 2. Interaction Design Concept• Integrated with Mendeley rather than stand-alone system• Simple to use (ease-of-use over control)• Support for direct, dynamic and interactive exploration• Support a wide range of search strategies: • Known Item – find a specific person • Subject – find people in a specific discipline • Keyword – find people with a specific keyword in profiles • Prototype – find people similar to a specific person • Social – find people connected to a specific person • Exploratory - start broad, filter and browse 2
  3. 3. Task-based approach to expertise What kinds of expertise? Applied knowledge Hiring Reputation relative to experience Networking skills Subject knowledge Program Networking skills Committee Multidisciplinarity Reputation Expert 3 Subject knowledge Testimony Experience
  4. 4. Expertise Dimensions EvidenceSubject Knowledge Number of academic publications (of types Book, Book Section, Conference Proceedings, Encyclopedia Article, Journal Article, Thesis)Applied Knowledge Number of publications in all non-academic publication types.Experience Years elapsed since date of first publication.Reputation - Number of readers in same main discipline as author - Publication outlets, ranked by readers - Number of professorial versus non-professorial readers of the user’s publicationsConnectedness - Number of contacts - Number of co-authors per publication - Number of groups joined - Total number of members in groups joinedMulti-disciplinarity - Number of disciplines - Number of Sub Disciplines 4 - Percent of total readers from disciplines other than the author’s
  5. 5. The Virtu system• Based on Apache Solr • Database integration, built-in facets• Mendeley data back-filled using REST and CURL to recover publication details, abstracts and images• Data clean-up, author-publication link validation• Results Ranking • Profile Rank: based on Knowledge level (publications and rank), Reputation (readers 5 and journals), and Profile Completeness
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  7. 7. Virtu Profiles 7
  8. 8. HCIR Challenge Tasks• Live Demo ?• descriptions are available from theHCIR 2012 site: 8
  9. 9. Issues & Future Work• Incomplete profiles – data sparsity• Normalize measures within disciplines?• Support a broader range of task types• User evaluations• Additional features: autosuggest, saving results, more flexible query processing… 9
  10. 10. Acknowledgements This work was carried out by members of theDigital Information Interaction Group (DiiG) at the University ofBritish Columbia. Funding from the GRAND Network of Centres of Excellence is gratefully acknowledged. Special thanks to Schuyler Lindberg who contributed to the aesthetics and layout of the interface. Questions? Feedback? 10