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Claremont Report on Database Research: Research Directions (Yannis E. Ioannidis)
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Claremont Report on Database Research: Research Directions (Yannis E. Ioannidis)

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This is a set of slides from the Claremont Report on Database Research, see http://db.cs.berkeley.edu/claremont/ for more details. These particular slides are from a "Research Directions" talk by......

This is a set of slides from the Claremont Report on Database Research, see http://db.cs.berkeley.edu/claremont/ for more details. These particular slides are from a "Research Directions" talk by "Yannis E. Ioannidis." (Uploaded for discussion at the Stanford InfoBlog, http://infoblog.stanford.edu/.)

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  • 1.  
  • 2. Asilomar Grand 10-Yr Vision [1998] The Information Utility: Make it easy for everyone to store, organize, access, and analyze the majority of human information online. Far from this: Personal differences Much will remain unorganized, autonomous Much more than access & analysis: collaboration & socialization
  • 3. Emerging Environments Distributed autonomous peers - access to each others’ data/services thru (transitive) interaction - offering search & other data services for individuals & groups
  • 4. Search Uncertainty
    • User may have no knowledge of
      • System’s actual cost (in work, time, $, …)
      • Quality of results (wrt freshness, completeness, …)
      • Origin of results (system’s original or brought in w/)
    • System may have no knowledge of user’s
      • True needs behind a request
      • Financial capacity, patience
      • Quality desires
      • Risk averseness
      • Content preferences
  • 5. Emerging Environments Querying/Searching for information should be similar to buying material goods and services in real life
  • 6. Search/Query Optimization
    • Multiple criteria
      • Processing (work, time), result (freshness, completeness, interestingness), money, …
    • Market research
      • For data availability, data quality, processing cost, …
    • Quality Control
      • Learning of peers’ +’s and –’s
      • Insurance contracts for quality/cost guarantees
    • Negotiation
      • Queries and their results are commodities
      • Query answers and query operator executions are traded
      • Deals are struck and contracts are “signed” for specific QoS
      • Recursive trading possibilities ( subcontracting )
  • 7. P e r s o n a l i z a t i o n
    • All aspects of search/querying could be personalized
    • Systems employ user models & maintain evolving profiles of personalities (preferences, needs) of individuals & groups
      • Queries (user interfaces, sense of object similarity, …)
      • Info source (trust of peers, quality parameters, …)
      • Results (objects of interest, presentation, …)
    • Profile parts activated at various stages
      • Query rewriting based on content preferences
      • Feature-set selection for similarity testing
      • Choice of information sources or optimization criteria
    • Socialization, collaboration
    • Privacy vs. personalization
  • 8. Contextualization Quicker answers Shorter result list Expensive processing Extensive results CFP: VLDB’08 2 nd Workshop on “ Personalization, Profile-Management, & Context-Dependence in Databases” Deadline: June 1, 2008 http://persdb08.stanford.edu/home.html
    • All aspects of search/querying could depend on the context
    • Context may include the searcher (personalization), location, time, history, other users present, …
    • Context modeling, context detection, …
  • 9. Personal Grand 10-Yr Vision [2008] From Closed Data & Info Systems to Open Data & Info Agoras
  • 10. Open Agoras Agora (ag·o·ra) : A gathering place; especially : the marketplace in ancient Greece
    • A place where people
      • congregate and discuss
      • shop for goods