Exploiting the deep web with DynaBot: matching, probing, and ranking Conference Paper uri icon

abstract

  • We present the design of Dynabot, a guided Deep Web discovery system. Dynabot's modular architecture supports focused crawling of the Deep Web with an emphasis on matching, probing, and ranking discovered sources using two key components: service class descriptions and source-biased analysis. We describe the overall architecture of Dynabot and discuss how these components support effective exploitation of the massive Deep Web data available.

name of conference

  • Special interest tracks and posters of the 14th international conference on World Wide Web - WWW '05

published proceedings

  • Special interest tracks and posters of the 14th international conference on World Wide Web - WWW '05

author list (cited authors)

  • Rocco, D., Caverlee, J., Liu, L., & Critchlow, T.

citation count

  • 4

complete list of authors

  • Rocco, Daniel||Caverlee, James||Liu, Ling||Critchlow, Terence

editor list (cited editors)

  • Ellis, A., & Hagino, T.

publication date

  • January 2005