Hidalgo, JustoPan Bermúdez, AlbertoLosada, JoséÁlvarez Díaz, Manuel2025-05-072025-05-072006-08-29Hidalgo, J., Pan, A., Losada, J., Álvarez, M. (2006). Preloading Browsers for Optimizing Automatic Access to Hidden Web: A Ranking-Based Repository Solution. In: Manolopoulos, Y., Pokorný, J., Sellis, T.K. (eds) Advances in Databases and Information Systems. ADBIS 2006. Lecture Notes in Computer Science, vol 4152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11827252_15978-3-540-37899-0978-3-540-37900-30302-9743http://hdl.handle.net/2183/41928Conference held from September 3 to 7, 2006, Thessaloniki, GreeceThis version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections.[Abstract]: As Web applications grow in terms of quantity and quality, different vertical solutions could make use of them as an important source of information. Nevertheless, obtaining information from web sources becomes a challenging issue because of their complex access due to the hypertext browsing paradigm, and HTML's semistructured format. Web Automation middleware navigates through web links and fills web forms in an automatic way, so to extract information from the Hidden Web. The main optimization parameter is the time required to navigate through the intermediate pages that lead to the desired results. This work proposes a technique which focuses on improving the browsing time by storing information from previous queries, and using it to preload an adequate subset of the navigational sequence on a specific browser, before the next sequence is launched. It also takes into account the most commonly used sequences, being the ones to be preloaded more ofteneng© 2006 Springer-Verlag Berlin HeidelbergAutomatic programmingData reductionHypertext systemsInformation retrievalOptimizationWorld Wide WebHypertext browsingSemistructured formatconference outputopen access