RoadRunner: Towards Automatic Data Extraction from Large Web Sites
Proceedings of the 27th International Conference on Very Large Data Bases
Extracting structured data from Web pages
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
A Survey of Web Information Extraction Systems
IEEE Transactions on Knowledge and Data Engineering
Context-aware wrapping: synchronized data extraction
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Supporting the automatic construction of entity aware search engines
Proceedings of the 10th ACM workshop on Web information and data management
Wrapper maintenance: a machine learning approach
Journal of Artificial Intelligence Research
Exploiting content redundancy for web information extraction
Proceedings of the VLDB Endowment
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Exploiting the huge amount of data available on the Web involves the generation of wrappers to extract data from web pages. We argue that existing approaches for web data extraction from data-intensive websites miss the opportunities related to the presence of redundant information on the Web. We propose an innovative approach that aims at pushing further the level of automation of existing wrapper generation systems by leveraging the redundancy of data on the Web. An experimental evaluation of the proposed solution shows a relevant improvement for the precision of the extracted data, without a significant loss in the recall.