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Issue No.01 - January-February (1997 vol.12)
pp: 8-14
ABSTRACT
<p>With the explosive growth of the Web, one of the biggest challenges in exploiting the wealth of available information is to locate the relevant documents. Search engines play a crucial role in addressing this problem by precompiling a large index of available information to quickly produce a set of possibly relevant documents in response to a query. While most Web users make extensive use of the Internet search engines, few people have more than a vague idea of how these systems work. This installment of "Trends & Controversies" features two essays that describe the inner workings of Internet search engines. In the first, Michael Mauldin, who developed Lycos, presents a brief history of Web search services and describes how search engines such as Lycos perform their tasks. In the second, Erik Selberg and Oren Etzioni, who developed the MetaCrawler Softbot, describe how their system exploits the results from other search engines to provide a comprehensive set of documents in response to a query.</p><p>—<b><it>Craig Knoblock, Editor</it></b></p>
CITATION
Craig A. Knoblock, "Searching the World Wide Web", IEEE Intelligent Systems, vol.12, no. 1, pp. 8-14, January-February 1997, doi:10.1109/MIS.1997.10004
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