Containment of partially specified tree-pattern queries

Dimitri Theodoratos, Theodore Dalamagas, Pawel Placek, Stefanos Souldatos, Timos Sellis

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

5 Scopus citations

Abstract

Nowadays, huge volumes of data, including scientific data, are organized or exported in tree-structured form. Querying capabilities are provided through tree-pattern queries. The need for integrating multiple data sources with different tree structures has driven, recently, the suggestion of query languages that relax the complete specification of a tree pattern. In this paper we adopt a query language with partially specified tree-pattern queries. A central feature of this type of queries is that the structure can be specified fully, partially, or not at all in a query. Important issues in query optimization require solving the query containment problem. We study the containment problem for partially specified tree-pattern queries. To support the evaluation of such queries, we use semantically rich constructs, called dimension graphs, which abstract structural information of the tree-structured data. We address the problem of query containment in the absence (absolute query containment) and in the presence (relative query containment) of dimension graphs, and we provide necessary and sufficient conditions for each type of query containment. We suggest a technique for relative query containment checking based on structural information extracted in advance from the dimension graph. Our approach is implemented and validated through extensive experimental evaluation.

Original languageEnglish (US)
Title of host publicationProceedings - 18th International Conference on Scientific and Statistical Database Management, SSDBM 2006
Pages3-12
Number of pages10
DOIs
StatePublished - 2006
Event18th International Conference on Scientific and Statistical Database Management, SSDBM 2006 - Vienna, Australia
Duration: Jul 3 2006Jul 5 2006

Publication series

NameProceedings of the International Conference on Scientific and Statistical Database Management, SSDBM
ISSN (Print)1099-3371

Other

Other18th International Conference on Scientific and Statistical Database Management, SSDBM 2006
Country/TerritoryAustralia
CityVienna
Period7/3/067/5/06

All Science Journal Classification (ASJC) codes

  • Software
  • Applied Mathematics

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