SMARTINT: Using mined attribute dependencies to integrate fragmented web databases

Ravi Gummadi, Anupam Khulbe, Aravind Kalavagattu, Sanil Salvi, Subbarao Kambhampati

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Many web databases can be seen as providing partial and overlapping information about entities in the world. To answer queries effectively, we need to integrate the information about the individual entities that are fragmented over multiple sources. At first blush this is just the inverse of traditional database normalization problem-rather than go from a universal relation to normalized tables, we want to reconstruct the universal relation given the tables (sources). The standard way of reconstructing the entities will involve joining the tables. Unfortunately, because of the autonomous and decentralized way in which the sources are populated, they often do not have Primary Key-Foreign Key relations. While tables may share attributes, naive joins over these shared attributes can result in reconstruction of many spurious entities thus seriously compromising precision. Our system, SmartInt is aimed at addressing the problem of data integration in such scenarios. Given a query, our system uses the Approximate Functional Dependencies (AFDs) to piece together a tree of relevant tables to answer it. The result tuples produced by our system are able to strike a favorable balance between precision and recall.

Original languageEnglish (US)
Pages (from-to)575-599
Number of pages25
JournalJournal of Intelligent Information Systems
Issue number3
StatePublished - Jun 2012


  • Information integration
  • Loss of PK/FK
  • Web databases

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence


Dive into the research topics of 'SMARTINT: Using mined attribute dependencies to integrate fragmented web databases'. Together they form a unique fingerprint.

Cite this