Context-aware meta search engine for distributed web service
Contribuinte(s) |
[Unknown] |
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Data(s) |
01/01/2012
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Resumo |
The ubiquity of the Internet and Web has led to the emergency of several Web search engines with varying capabilities. A weakness of existing search engines is the very extensive amount of hits that they can produce. Moreover, only a small number of web users actually know how to utilize the true power of Web search engines. Therefore, there is a need for searching infrastructure to help ease and guide the searching efforts of web users toward their desired objectives. In this paper, we propose a context-based meta-search engine and discuss its implementation on top of the actual Google.com search engine. The proposed meta-search engine benefits the user the most when the user does not know what exact document he or she is looking for. Comparison of the context-based meta-search engine with both Google and Guided Google shows that the results returned by context-based meta-search engine is much more intuitive and accurate than the results returned by both Google and Guided Google. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Science & Engineering Research Support Centre, (SERSC) |
Relação |
http://dro.deakin.edu.au/eserv/DU:30049226/abawajy-contextaware-2012.pdf http://dro.deakin.edu.au/eserv/DU:30049226/evid-ccaconf-norevevid-2012.pdf http://onlinepresent.org/proceedings/vol10_2012/155.pdf |
Direitos |
2012, SERSC |
Tipo |
Conference Paper |