The CLEVER search engine incorporates several algorithms that make use of the Web's hyperlink structure for discovering high-quality information. It can be exceedingly difficult to locate resources on the World Wide Web that are both high-quality and relevant to a user's informational needs. Traditional automated search methods for locating information on the Web are easily overwhelmed by low-quality and unrelated content. Second generation search engines have to have effective methods for focusing on the most authoritative documents. The rich structure implicit in hyperlinks among Web documents offers a simple, and effective, means to deal with many of these problems. Additional Information: Publications:
R. Jäschke, und S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, Seite 19--34. Technische Universität Dresden, (Mai 2013)
R. Jäschke, und S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, Seite 19--34. Technische Universität Dresden, (Mai 2013)
R. Jäschke, und S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, Seite 19--34. Technische Universität Dresden, (Mai 2013)
R. Jäschke, und S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, Seite 19--34. Technische Universität Dresden, (Mai 2013)
A. Brew, D. Greene, und P. Cunningham. Proceedings of the 19th European Conference on Artificial Intelligence, Volume 215 von Frontiers in Artificial Intelligence and Applications, Seite 145--150. Amsterdam, The Netherlands, The Netherlands, IOS Press, (2010)
D. Rusu, B. Fortuna, und D. Mladenic. 4th Linked Data on the Web Workshop (LDOW 2011), 20th World Wide Web Conference (WWW 2011)., Hyderabad, India, (2011)