Abstract: Extracting data from web pages. User input is received defining a tabular form. User input is received correlating portions of the form with user selected data items contained in one or more first web pages. The user input is correlated to create an ontology defining relationships between the user selected data items based on the definition of the tabular form. One or more other web pages are accessed, and based on a context of the one or more data items in the first web page being similar to a context of the selected data items in the one or more first web pages, one or more similar data items are extracted from the one or more other web pages. The extracted data items are correlated to each other in accordance with the ontology defining relationships between the user selected data items and are output as a user searchable data structure.

Abstract: Extracting data from web pages. User input is received defining a tabular form. User input is received correlating portions of the form with user selected data items contained in one or more first web pages. The user input is correlated to create an ontology defining relationships between the user selected data items based on the definition of the tabular form. One or more other web pages are accessed, and based on a context of the one or more data items in the first web page being similar to a context of the selected data items in the one or more first web pages, one or more similar data items are extracted from the one or more other web pages. The extracted data items are correlated to each other in accordance with the ontology defining relationships between the user selected data items and are output as a user searchable data structure.

Abstract: Indexing hidden web information. First and second web pages are accessed, which include data organized in table format. The tables from the first and second web page are compared. Based on the comparison, a determination is made as to which table cells contain category labels and which contain instance data. The category labels from the first web page are compared to the category labels from the second web page. A general structure of individual tables is inferred based on the act of comparing the category labels. The general structure is chosen from among standard table templates. Data in two or more web pages organized according to the selected table templates is identified. Data from the two or more web pages is stored by associating the table data from two or more web pages to one or more of the selected table templates.