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Combining keyword search and forms for ad hoc querying of databases
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International Conference on Management of Data archive
Proceedings of the 35th SIGMOD international conference on Management of data table of contents
Providence, Rhode Island, USA
SESSION: Research session 9: data on the web table of contents
Pages 349-360  
Year of Publication: 2009
ISBN:978-1-60558-551-2
Authors
Eric Chu  University of Wisconsin-Madison, Madison, WI, USA
Akanksha Baid  University of Wisconsin-Madison, Madison, WI, USA
Xiaoyong Chai  University of Wisconsin-Madison, Madison, WI, USA
AnHai Doan  University of Wisconsin-Madison, Madison, WI, USA
Jeffrey Naughton  University of Wisconsin-Madison, Madison, WI, USA
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

A common criticism of database systems is that they are hard to query for users uncomfortable with a formal query language. To address this problem, form-based interfaces and keyword search have been proposed; while both have benefits, both also have limitations. In this paper, we investigate combining the two with the hopes of creating an approach that provides the best of both. Specifically, we propose to take as input a target database and then generate and index a set of query forms offline. At query time, a user with a question to be answered issues standard keyword search queries; but instead of returning tuples, the system returns forms relevant to the question. The user may then build a structured query with one of these forms and submit it back to the system for evaluation. In this paper, we address challenges that arise in form generation, keyword search over forms, and ranking and displaying these forms. We explore techniques to tackle these challenges, and present experimental results suggesting that the approach of combining keyword search and form-based interfaces is promising.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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S. Agrawal, S. Chaudhuri, and G. Das. DBXplorer: A System for Keyword-Based Search over Relational Databases. ICDE, 2002.
 
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A. Bernstein and E. Kaufmann. Making the semantic web accessible to the casual user: Empirical evidence on the usefulness of semiformal query languages. IEEE Transactions on Knowledge and Data Engineering, under review.
 
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Collaborative Colleagues:
Eric Chu: colleagues
Akanksha Baid: colleagues
Xiaoyong Chai: colleagues
AnHai Doan: colleagues
Jeffrey Naughton: colleagues