p97-zhang - Light-weight Domain-based Form Assistant:...

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Unformatted text preview: Light-weight Domain-based Form Assistant: Querying Web Databases On the Fly * Zhen Zhang Bin He Kevin Chen-Chuan Chang University of Illinois at Urbana-Champaign { zhang2, binhe } @uiuc.edu, kcchang@cs.uiuc.edu Abstract The Web has been rapidly deepened by myr- iad searchable databases online, where data are hidden behind query forms. Helping users query alternative deep Web sources in the same do- main ( e.g. , Books, Airfares) is an important task with broad applications. As a core component of those applications, dynamic query translation ( i.e. , translating a users query across dynami- cally selected sources) has not been extensively explored. While existing works focus on iso- lated subproblems ( e.g. , schema matching, query rewriting) to study, we target at building a com- plete query translator and thus face new chal- lenges: 1) To complete the translator, we need to solve the predicate mapping problem ( i.e. , map a source predicate to target predicates), which is largely unexplored by existing works; 2) To satisfy our application requirements, we need to design a customizable system architecture to as- semble various components addressing respective subproblems ( i.e. , schema matching, predicate mapping, query rewriting). Tackling these chal- lenges, we develop a light-weight domain-based form assistant , which can generally handle alter- native sources in the same domain and is easily customizable to new domains. Our experiment shows the effectiveness of our form assistant in translating queries for real Web sources. * This material is based upon work partially supported by NSF Grants IIS-0133199, IIS-0313260, and an 2004 IBM Faculty Award. Any opin- ions, findings, and conclusions or recommendations expressed in this pub- lication are those of the author(s) and do not necessarily reflect the views of the funding agencies. Permission to copy without fee all or part of this material is granted pro- vided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment. Proceedings of the 31st VLDB Conference, Trondheim, Norway, 2005 1 Introduction Recently, we have witnessed the rapid growth of databases on the Web, or the so-called deep Web. A July 2000 sur- vey [1] estimated 96,000 search cites and 550 billion content pages in this deep Web. Our recent study [4] in April 2004 estimated 450,000 online databases. On the deep Web, numerous online databases provide dynamic query-based data access through their query forms , instead of static URL links. For instance, amazon.com supports a query form for searching books on author , title , sub- ject , etc. . To help users explore the deep Web, it becomes increasingly important to facilitate users interaction with...
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p97-zhang - Light-weight Domain-based Form Assistant:...

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