Evaluating the Suitability of Web Search Engines as Proxies for Knowledge Discovery from the Web | Zendy

Laura Martínez-Sanahuja | Zendy; David Sánchez | Zendy

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Evaluating the Suitability of Web Search Engines as Proxies for Knowledge Discovery from the Web

Author(s) -

Laura Martínez-Sanahuja,

David Sánchez

Publication year - 2016

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2016.08.123

Subject(s) - computer science , search engine , information retrieval , world wide web , variety (cybernetics) , web crawler , estimator , web search engine , semantic search , web search query , data science , artificial intelligence , statistics , mathematics

Many researchers use the Web search engines’ hit count as an estimator of the Web information distribution in a variety of knowledge-based (linguistic) tasks. Even though many studies have been conducted on the retrieval effectiveness of Web search engines for Web users, few of them have evaluated them as research tools. In this study we analyse the currently available search engines and evaluate the suitability and accuracy of the hit counts they provide as estimators of the frequency/probability of textual entities. From the results of this study, we identify the search engines best suited to be used in linguistic research

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