SemaForm: Semantic Wrapper Generation for Querying Deep Web Data Sources (Interim Report)

نویسندگان

  • Jagoda Walny
  • Denilson Barbosa
چکیده

A wealth of data on the World Wide Web is hidden behind web form query interfaces and cannot be found through regular search engines. Querying across multiple such sources is a tedious and error-prone process; it involves manually filling in many related, but different, web forms. SemaForm automates this process by correlating web form labels to entries in a domain ontology through the use of a continually refined knowledge base and various techniques for semantic matching. This interim report contains an overview of SemaForm and an update on the project status.

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تاریخ انتشار 2007