GoGetIt!: a tool for generating structure-driven web crawlers

ABSTRACT

We present GoGetIt!, a tool for generating structure-driven crawlers that requires a minimum effort from the users. The tool takes as input a sample page and an entry point to a Web site and generates a structure-driven crawler based on navigation patterns, sequences of patterns for the links a crawler has to follow to reach the pages structurally similar to the sample page. In the experiments we have performed, structure-driven crawlers generated by GoGetIt! were able to collect all pages that match the samples given, including those pages added after their generation.

REFERENCES

• 1: D. C. Reis , P. B. Golgher , A. S. Silva , A. F. Laender, Automatic web news extraction using tree edit distance, Proceedings of the 13th international conference on World Wide Web, May 17-20, 2004, New York, NY, USA [doi>10.1145/988672.988740]
• 2: Juliano Palmieri Lage , Altigran S. da Silva , Paulo B. Golgher , Alberto H. F. Laender, Automatic generation of agents for collecting hidden web pages for data extraction, Data & Knowledge Engineering, v.49 n.2, p.177-196, May 2004 [doi>10.1016/j.datak.2003.10.003]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Clustering

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Search process

General Terms:
Algorithms, Experimentation

Keywords:
tree edit distance, web crawlers, web data extraction