This paper presents a new algorithm for hypertext graph crawling. Using an ant as an agent in a hypertext graph significantly limits amount of irrelevant hypertext documents which must be downloaded in order to download a given number of relevant documents. Moreover, during all time of the crawling, artificial ants do not need a queue to central control crawling process. The proposed algorithm, called the Focused Ant Crawling Algorithm, for hypertext graph crawling, is better than the Shark-Search crawling algorithm and the algorithm with best-first search strategy utilizing a queue for the central control of the crawling process. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Dziwiński, P., & Rutkowska, D. (2008). Ant focused crawling algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5097 LNAI, pp. 1018–1028). https://doi.org/10.1007/978-3-540-69731-2_96
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