Despite the effectiveness of search engines, the persistently increasing amount of web data continuously obscures the search task. Efforts have thus concentrated on personalized...
Commercial search engines, especially meta-search engines was designed to retrieve the information by submitting users' queries to multiple conventional search engines and in...
Purpose: To provide a critical review of Bergman’s 2001 study on the Deep Web. In addition, we bring a new concept into the discussion, the Academic Invisible Web (AIW). We defi...
In recent years, while search engines have become more and more powerful, several specialized search engines have been developed for different domains (e.g. library services, serv...
Many Web sites have begun allowing users to submit items to a collection and tag them with keywords. The folksonomies built from these tags are an interesting topic that has seen ...
In this paper, we define and present a comprehensive classification of user intent for Web searching. The classification consists of three hierarchical levels of informational, na...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink
As the number of non-English resources available on the Web is increasing rapidly, developing information retrieval techniques for non-English languages is becoming an urgent and ...
While small-scale search engines in specific domains and languages are increasingly used by Web users, most existing search engine development tools do not support the development...
Michael Chau, Jialun Qin, Yilu Zhou, Chunju Tseng,...
Algorithms are an integral part of computer science literature. However, none of the current search engines offer specialized algorithm search facility. We describe a vertical sea...
We present DeepPeep (http://www.deeppeep.org), a new system for discovering, organizing and analyzing Web forms. DeepPeep allows users to explore the entry points to hidden-Web si...
Luciano Barbosa, Hoa Nguyen, Thanh Hoang Nguyen, R...