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Containment of Partially Specified Tree-Pattern Queries (2006)
| Content Provider | CiteSeerX |
|---|---|
| Author | Theodoratos, Dimitri Souldatos, Stefanos |
| Description | 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. 1. |
| File Format | |
| Language | English |
| Publisher Date | 2006-01-01 |
| Publisher Institution | In Proc. of the Intl. Conference on Scientific and Statistical Databases |
| Access Restriction | Open |
| Subject Keyword | Containment Problem Tree-structured Data Relative Query Containment Structural Information Important Issue Central Feature Scientific Data Partially Specified Tree-pattern Query Tree Pattern Extensive Experimental Evaluation Query Language Complete Specification Multiple Data Source Query Optimization Require Sufficient Condition Dimension Graph Tree-structured Form Tree-pattern Query Different Tree Structure Query Containment Problem Rich Construct Query Containment Huge Volume Absolute Query Containment |
| Content Type | Text |
| Resource Type | Article |