Abstract
One of the most challenging issues in mining information from the World Wide Web is the design of systems that can present the data to the end user by clustering them into meaningful semantic categories. We envision that the analysis of the results of a Web search can significantly take advantage of advanced graph drawing techniques. In this paper we strengthen our point by describing the visual functionalities of WhatsOnWeb, a meta search clustering engine explicitly designed to make it possible for the user to browse the Web by means of drawings of graphs whose nodes represent clusters of coherent data and whose edges describe semantic relationships between pairs of clusters. A prototype of WhatsOnWeb is available at http://whatsonweb.diei.vtnipg.it/. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Di Giacomo, E., Didimo, W., Grilli, L., & Liotta, G. (2006). WhatsOnWeb: Using graph drawing to search the Web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3843 LNCS, pp. 480–491). Springer Verlag. https://doi.org/10.1007/11618058_43
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