i.stanford.edu

i.stanford.edu

Deco: Declarative Crowdsourcing

Challenges Designed to

be: 1.General 2.Flexible

3.Principled Paper focuses

on: 1.Data model 2.Query language

3.Prototype Data Model

1.Conceptual schema 2.Raw schema

3.Data model semantics

1. Resolution Rules [RR1, relation Restuarant] name,

address -> rating: avg() 2.

Fetch Rules [FR1] R.name, R.address ->

R.rating: P1 1.Conceptual

schema 2.Raw schema 3.Data model

semantics 1.Fetch

2.Resolve 3.Join (and metadata)

Query Language Select name, address From

Restaurant Where cuisine = Thai and rating > 4

1.AtLeast n 2.MaxTime 3.MaxBudget

4.MaxFetches Processing Queries

1.Incremental Push 2.Async Pull

3.Two Phase Query Plans 1.Basic Plan

2.Predicate Placement 3.Reverse Fetches

4.Combined Fetches

Prototype Comparison to

CrowdDB Summary of

contributions Thank you!

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