Combining Multiple Knowledge Bases

Chitta Baral, Sarit Kraus, Jack Minker

Research output: Contribution to journalArticlepeer-review

60 Scopus citations


Knowledge present in multiple knowledge bases might need to be reviewed to make decisions based on the combined knowledge. We define the concept of combining knowledge present in a set of knowledge bases and present algorithms to maximally combine them so that the combination is consistent with respect to the integrity constraints associated with the knowledge bases. For this we define the concept of maximality and prove that the algorithms presented combine the knowledge bases to generate a maximal theory. We also discuss the relationships between combining multiple knowledge bases and the view update problem.

Original languageEnglish (US)
Pages (from-to)208-220
Number of pages13
JournalIEEE Transactions on Knowledge and Data Engineering
Issue number2
StatePublished - Jun 1991
Externally publishedYes


  • Consistent
  • integrity constraints
  • knowledge bases
  • logic programs
  • maximally combining theories

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics


Dive into the research topics of 'Combining Multiple Knowledge Bases'. Together they form a unique fingerprint.

Cite this