Attribute domain discovery for hidden web databases

Xin Jin, Nan Zhang, Gautam Das

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations


Many web databases are hidden behind restrictive form-like interfaces which may or may not provide domain information for an attribute. When attribute domains are not available, domain discovery becomes a critical challenge facing the application of a broad range of existing techniques on third-party analytical and mash-up applications over hidden databases. In this paper, we consider the problem of domain discovery over a hidden database through its web interface. We prove that for any database schema, an achievability guarantee on domain discovery can be made based solely upon the interface design. We also develop novel techniques which provide effective guarantees on the comprehensiveness of domain discovery. We present theoretical analysis and extensive experiments to illustrate the effectiveness of our approach.

Original languageEnglish (US)
Title of host publicationProceedings of SIGMOD 2011 and PODS 2011
PublisherAssociation for Computing Machinery
Number of pages12
ISBN (Print)9781450306614
StatePublished - 2011
Event2011 ACM SIGMOD and 30th PODS 2011 Conference - Athens, Greece
Duration: Jun 12 2011Jun 16 2011

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078


Other2011 ACM SIGMOD and 30th PODS 2011 Conference

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems


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