Guided Google: A Meta Search Engine and its Implementation using the Google Distributed Web Services
Ding Choon Hoong, Rajkumar Buyya

TL;DR
This paper introduces Guided Google, a meta-search engine that acts as an interface to Google Web Services, aiming to assist novice users in more effective web searching.
Contribution
It presents the design and implementation of a guided meta-search engine leveraging Google Web Services to improve user search experience.
Findings
Demonstrates the feasibility of a guided meta-search interface
Shows improved search guidance for novice users
Utilizes Google Web Services for implementation
Abstract
With the advent of the Internet, search engines have begun sprouting like mushrooms after a rainfall. Only in recent years, have developers become more innovative, and came up with guided searching facilities online. The goals of these applications are to help ease and guide the searching efforts of a novice web user toward their desired objectives. A number of implementations of such services are emerging. This paper proposes a guided meta-search engine, called "Guided Google", as it serves as an interface to the actual Google.com search engine, using the Google Web Services.
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Semantic Web and Ontologies · Data Management and Algorithms
