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Developing Buddy: Towards Greater Dependability and Maintainability in Meta-Search

Developing Buddy: Towards Greater Dependability and Maintainability in Meta-Search
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Author(s): Naresh Kumar Agarwal (National University of Singapore, Singapore), Danny C.C. Poo (National University of Singapore, Singapore) and Dominick M. T. Leo (National University of Singapore, Singapore)
Copyright: 2007
Pages: 5
Source title: Managing Worldwide Operations and Communications with Information Technology
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59904-929-8.ch105
ISBN13: 9781599049298
EISBN13: 9781466665378

Abstract

Most meta-search engines use web scraping as an ad-hoc method to extract results from the output display of various search engine sources. However, a search engine may cease operation, merge with other engines or its display format may change. A dependable meta-search engine must, thus, adapt to display changes in search engine sources and be maintainable even by people with low programming skills. This paper describes the design and development of Buddy, a meta-search engine that is able to help web users search more effectively into multiple search engine sources. It allows integration of a new search source with minimum complexity and programming knowledge, leading to greater dependability and maintainability. Search results are aggregated from multiple sources to remove duplicate and sponsored links and to give the most relevant results each time. Buddy also allows query refinement and saving of search results locally in user computers or remotely in emails.

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