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Forms are our gates to the Web. They enable us to access the deep content of Web sites. Automatic form understanding provides applications, ranging from crawlers over meta-search engines to service integrators, with a key to this content. Yet, it has received little attention other than as component in specific applications such as crawlers or meta-search engines. No comprehensive approach to form understanding exists, let alone one that produces rich models for semantic services or integration with linked open data. In this paper, we present opal, the first comprehensive approach to form understanding and integration. We identify form labeling and form interpretation as the two main tasks involved in form understanding. On both problems, opal advances the state of the art: For form labeling, it combines features from the text, structure, and visual rendering of a Web page. In extensive experiments on the ICQ …