Combining text and link analysis for focused crawling—An application for vertical search engines

2007 ◽  
Vol 32 (6) ◽  
pp. 886-908 ◽  
Author(s):  
G. Almpanidis ◽  
C. Kotropoulos ◽  
I. Pitas
1999 ◽  
Vol 55 (4) ◽  
pp. 375-384 ◽  
Author(s):  
Herbert Snyder ◽  
Howard Rosenbaum

Author(s):  
Michael Thelwall

This chapter, which argues that the structure of the Web reflects the offline world, making it a valuable lens for exploring society, introduces the theories and issues which make general observations about the Web and then provides examples of investigations into particular topics, such as academic web use. The Web offers unique entrée to free information from Wikipedia to news websites and from government information portals to search engines. Moreover, the two broad approaches to investigating society on the Web are reported, which are based around link analysis and Web 2.0 investigations. Web 2.0 has spawned broad research to probe its effect on several aspects of society. The publishing of personal information on the Web, particularly on the social web, appears likely to continue and expand.


Author(s):  
S. Naseehath

Webometric research has fallen into two main categories, namely link analysis and search engine evaluation. Search engines are also used to collect data for link analysis. A set of measurements is proposed for evaluating web search engine performance. Some measurements are adapted from the concepts of recall and precision, which are commonly used in evaluating traditional information retrieval systems. Others are newly developed to evaluate search engine stability, which is unique to web information retrieval systems. Overlapping of search results, annual growth of search results on each search engines, variation of results on search using synonyms are also used to evaluate the relative efficiency of search engines. In this study, the investigator attempts to conduct a webometric study on the topic medical tourism in Kerala using six search engines; these include three general search engines, namely Bing, Google, and Lycos, and three metasearch engines, namely Dogpile, ixquick, and WebCrawler.


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