Query Rewriting for Extracting Data Behind HTML Forms Xueqi Chen Department of Computer Science Brigham Young University March, 2003 Funded by National.

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Presentation transcript:

Query Rewriting for Extracting Data Behind HTML Forms Xueqi Chen Department of Computer Science Brigham Young University March, 2003 Funded by National Science Foundation

Motivation Web information is stored in databases Databases are accessed through forms Automated agents are of great value Process is difficult because of nature of forms

System Flowchart Input Analyzer Retrieved Page(s) Application Ontology User Query Site Form Output Analyzer Extracted Information

User Query Acquisition Our system provides a form created based on application-specific ontology

Site Form Analysis Understand type, name, and/or values for each field

Form Filling Name matching Regular Expressions – for fields with values provided Stemming Levenshtein Edit Distance Longest Common Subsequences Soundex Wordnet Value matching

Value Matching: Case 1

Value Matching: Case 2 ? ?

Value Matching: Case 3 Color? ? ?

Value Matching: Case 4

Value Matching: Case 5 ?

Value Matching: Case 6

Value Matching: Case 7

Measurements Matching Efficiency Submission Efficiency Post-processing Efficiency

Measurements (cont’) Matching Efficiency

Measurements (cont’) Matching Efficiency Submission Efficiency

Measurements (cont’) Matching Efficiency Submission Efficiency Post-processing Efficiency

Contributions It enhances the effectiveness of the data- extraction process It presents another technique, in addition to [RGa01], to access data behind HTML forms.