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Asilomar Grand 10-Yr Vision [1998]

Asilomar Grand 10-Yr Vision [1998]. Far from this: Personal differences. Much will remain unorganized, autonomous. The Information Utility: Make it easy for everyone to store, organize, access, and analyze the majority of human information online.

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Asilomar Grand 10-Yr Vision [1998]

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  1. Asilomar Grand 10-Yr Vision [1998] Far from this: Personal differences Much will remain unorganized, autonomous The Information Utility: Make it easy for everyone to store, organize, access, and analyze the majority of human information online. Much more than access & analysis: collaboration & socialization

  2. Emerging Environments Distributed autonomous peers - access to each others’ data/services thru (transitive) interaction - offering search & other data services for individuals & groups

  3. 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 • …

  4. Emerging Environments Querying/Searching for information should be similar to buying material goods and services in real life

  5. 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)

  6. Personalization • All aspects of search/querying could be personalized • Systems employ user models & maintain evolving profilesof 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

  7. Contextualization • 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, … Expensive processing Extensive results Quicker answers Shorter result list CFP: VLDB’08 2nd Workshop on “Personalization, Profile-Management, & Context-Dependence in Databases” Deadline: June 1, 2008 http://persdb08.stanford.edu/home.html

  8. Personal Grand 10-Yr Vision [2008] From Closed Data & Info Systems to Open Data & Info Agoras

  9. 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

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