A large number of semistructured documents exist on the web. We can find pages that contain keywords by using a search engine. But when we want to obtain information about an object like a notebook computer with 1GB memory, a method is needed that automatically extracts attribute name (in this example, "memory") and attribute value (in this example, "1GB"). In the past, many researchers examined extracting attribute values corresponding to each attribute name. This paper discribes a method that extracts schemas (sets of attribute names) using bootstrapping algorithm.

For accessing information on the Web related to an object, such as a product, human, or place, its attribute names and attribute values need to be extracted and stored in a database. Many researchers have tried to extract attribute values automatically, whereas only a small number of researchers have attempted to extract attribute names. Thus, we propose a method for extracting attribute names automatically. Our method adopts a bootstrapping algorithm which is popular for extracting attribute values. We propose several techniques that allow the successful application of this algorithm to attribute name extraction.

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