Efficiently gathering information on the Internet using AI & DB techniques: The EMERAC PROJECT

10/1/99


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Table of Contents

Efficiently gathering information on the Internet using AI & DB techniques: The EMERAC PROJECT

Motivation

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Data representation

Data Representation --2

Data location

Tricky issues

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Desirable Properties of information gathering plans

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Source Access Limitations

Representing Source Access Limitations

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Computing source-complete plans

Building Source Complete Plans

Complexity of finding maximally-contained plans (Certain answers)

Practical Problems with Plans derived from source inversion rules

Optimization challenges in EMERAC

Minimizing information gathering plans

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Greedily Minimizing Information Gathering Plans

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LCW vs. Nave [Artificial Sources]

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Optimization challenges in EMERAC

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Issues in ordering source calls

Our Approach: Assumptions

Our Approach: Overview

The HTBP Table

The Algorithm

Example

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More capable sources

More realistic overlap statistics

Optimizing for First n-tuples

XML .

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Current directions

The EMERAC Crowd

Author: Unknown User

Email: rao@asu.edu

Home Page: http://rakaposhi.eas.asu.edu

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