PAPER DIGEST
Most Influential WWW 2003 Paper · 2026-03 edition

Data Extraction And Label Assignment For Web Databases

Jiying Wang; Fred H. Lochovsky

Venue
ACM Web Conference (WWW) 2003
Recognition
Most Influential WWW 2003 Paper (Rank No. 13)
Edition
2026-03
Impact factor
6
Certificate ID
3e15db7bea2ebbdf

Abstract

Many tools have been developed to help users query, extract and integrate data from web pages generated dynamically from databases, i.e., from the Hidden Web. A key prerequisite for such tools is to obtain the schema of the attributes of the retrieved data. In this paper, we describe a system called, <b><i>DeLa</i></b>, which reconstructs (part of) a "hidden" back-end web database. It does this by sending queries through HTML forms, automatically generating regular expression wrappers to extract data objects from the result pages and restoring the retrieved data into an annotated (labelled) table. The whole process needs no human involvement and proves to be fast (less than one minute for wrapper induction for each site) and accurate (over 90% correctness for data extraction and around 80% correctness for label assignment).

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