Innovative Deco: Declarative Crowdsourcing Solution
Explore Deco, an innovative solution for crowdsourcing that focuses on data modeling, query language, and prototype development to address challenges efficiently. Learn more about its designed features and the paper's detailed insights, including resolution and fetch rules. Discover how it processes queries and empowers users with a flexible and principled approach.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
Deco: Declarative Crowdsourcing
Designed to be: 1.General 2.Flexible 3.Principled
Paper focuses on: 1.Data model 2.Query language 3.Prototype
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)
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
Comparison to CrowdDB
Summary of contributions
