Abstract

We demonstrate a Web Query Optimizer (WQO) within an architecture of mediators and wrappers, for WebSources of limited capability in a wide area environment. The WQO has several innovative features, including a CBR (capability based rewriting) tool, an enhanced randomized relational optimizer extended to a Web environment, and a WebWrapper cost model that can provide relevant metrics for accessing WebSources. The prototype has been tested against a number of WebSources.

Keywords:
Computer science Query optimization Web query classification Rewriting Web search query Architecture Sargable Information retrieval Database World Wide Web Search engine Programming language

Metrics

4
Cited By
1.32
FWCI (Field Weighted Citation Impact)
5
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Web Data Mining and Analysis
Physical Sciences →  Computer Science →  Information Systems
Caching and Content Delivery
Physical Sciences →  Computer Science →  Computer Networks and Communications
Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems

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