Automatic information extraction from the web: case study with recipes

Authors:
Neva Smith;King-Ip Lin
Affiliations:
University of Memphis, Memphis, TN;University of Memphis, Memphis, TN
Venue:
Proceedings of the 50th Annual Southeast Regional Conference
Year:
2012

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Abstract

We implemented a system that automatically extract information from web pages and store them in a database system for easy processing. Our system only requires to user to provide the underlying database structure to work. In addition, our system also make use of existing information we extracted to improve accuracy. We use the recipe domain to illustrate our work, and initial experiment results (of 70% accuracy) provide encouraging signs that this method will be effective on other domains.