Site-Wide Wrapper Induction for Life Science Deep Web Databases

We present a novel approach to automatic information extraction from Deep Web Life Science databases using wrapper induction. Traditional wrapper induction techniques focus on learning wrappers based on examples from one class of Web pages, i.e. from Web pages that are all similar in structure and content. Thereby, traditional wrapper induction targets the understanding of Web pages generated from a database using the same generation template as observed in the example set. However, Life Science Web sites typically contain structurally diverse web pages from multiple classes making the problem more challenging. Furthermore, we observed that such Life Science Web sites do not just provide mere data, but they also tend to provide schema information in terms of data labels – giving further cues for solving the Web site wrapping task. Our solution to this novel challenge of Site-Wide

• Type: Conference
• Year: 2009
• Where: DILS
• Authors: Saqib Mir, Steffen Staab, Isabel Rojas
• Keywords: Life Sciences, DILS 2009, Traditional Wrapper Induction, Web Pages, Wrapper Induction