SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Generating finite-state transducers for semi-structured data extraction from the Web
Information Systems - Special issue on semistructured data
Hierarchical Wrapper Induction for Semistructured Information Sources
Autonomous Agents and Multi-Agent Systems
Automatic information extraction from semi-structured Web pages by pattern discovery
Decision Support Systems - Web retrieval and mining
RoadRunner: Towards Automatic Data Extraction from Large Web Sites
Proceedings of the 27th International Conference on Very Large Data Bases
Extracting Patterns and Relations from the World Wide Web
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
Integrating data from the web by machine-learning tree-pattern queries
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
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Many online data sources, such as product catalogs, on-line directories, etc. are available on the web. Extracting information from such sources is a hard task since these sources are designed to be presented to human users. Many researchers have tackled the problem of building wrappers for such sources. The state of the art approach is to use machine learning techniques based on fully labeled example pages. In this paper we propose and study an approach based on example instances. This allows the user to build a wrapper using only a handful of examples of the whole source allowing to take into account structural differences. The patterns obtained allow to extract the instances of the relation described by the examples and contained in the same data source.