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Querying the deep Web

Querying the deep Web. By John Muntunemuine and Martha Kamkuemah Supervisor: Sonia Berman. Outline. Problem being tackled Why its important Related Work Overview of the system Scope Design challenges Main components of project Key success factors Risks Conclusion.

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Querying the deep Web

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  1. Querying the deep Web By John Muntunemuine and Martha Kamkuemah Supervisor: Sonia Berman

  2. Outline • Problem being tackled • Why its important • Related Work • Overview of the system • Scope • Design challenges • Main components of project • Key success factors • Risks • Conclusion

  3. Problem being tackled • Querying databases hidden behind query interfaces and retrieve results from them • Build a query based system able to send a query to multiple deep Web databases simultaneously • Then investigate a generic solution

  4. Why its important? • Not many tools out there to query the deep Web • Can create Internet services such as “comparison shopping” by integrating data from competing service providers. • Less effort to query single interface

  5. Related work • S Raghavan & H Garcia-Molina: HiWE (Hidden Web Exposer) that automatically parses, processes & interacts with form-based search interfaces

  6. Related work • Article: Web data management Integration of query interfaces Query processing Result processing

  7. Related work • Wu: Mismatch problem with one-to-one mapping Developed a clustered-based schema integration technique that maps fields in query forms

  8. Overview of the system

  9. Scope • Heterogeneous nature of data stored in hidden databases • Solution: look at airline domain • Start specific • Generalize solution

  10. Design challenges Locating the relevant sections Semantically matching attributes

  11. Main components of project • Two main parts • Query formulation • Result interpretation

  12. Success factors • If we can send a query to one deep Web database and display results • Then expand system for more general solution by implementing heuristic to deal with general pages

  13. Risks • If the implementation of both parts of the system takes time, we might concentrate on one side of the system – query formulation

  14. Conclusion Query hidden databases Investigate ways to make the system more general Subsystems Query formulation Result interpretation

  15. Ouestions?

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