Computational properties of metaquerying problems

F. Angiulli, R. Ben-Eliyahu-Zohary, G. B. Ianni, L. Palopoli

Research output: Contribution to conferencePaperpeer-review

6 Scopus citations


Metaquerying is a datamining technology by which hidden dependencies among several database relations can be discovered. This tool has already been successfully applied to several real-world applications. Recent papers provide only very preliminary results about the complexity of metaquerying. In this paper we define several variants of metaquerying that encompass, as far as we know, all variants defined in the literature. We study both the combined complexity and the data complexity of these variants. We show that, under the combined complexity measure, metaquerying is generally intractable (unless P = NP), but we are able to single out some tractable interesting metaquerying cases (whose combined complexity is LOGCFL-complete). As for the data complexity of metaquerying, we prove that, in general, this is in P, but lies within AC0 in some interesting cases. Finally, we discuss the issue of equivalence between metaqueries, which is useful for optimization purposes.

Original languageEnglish
Number of pages8
StatePublished - 1 Jan 2000
Externally publishedYes
EventPODS 2000 - 19th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems - Dallas, TX, USA
Duration: 15 May 200017 May 2000


ConferencePODS 2000 - 19th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems
CityDallas, TX, USA

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture

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