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|Title: ||A tree-based approach to support query translation for schema mappings with weights|
|Authors: ||Ya-hui Chang|
|Issue Date: ||2018-10-29T08:09:38Z
|Publisher: ||Journal of Information Science and Engineering|
|Abstract: ||Abstract: Query translation has been a central task for data integration or information sharing.
In this paper, we assume that the source and target databases may be XML or relational,
with the query languages XQuery and SQL, respectively. Besides, there may exist many
possible mappings with different weights between two schemas, which are usually produced
by automatic schema matching tools. We intend to output the most preferable query
based on weights among all equivalent ones. To achieve this goal, we need to properly
represent the weighted schema mappings and input queries for performing query translation.
Our approach is to first classify the schema representation into two basic units, i.e.,
collections and values, and apply mapping functions to represent the correspondence for
each basic unit with weight information. We then propose a set of tree structures, collectively
called CanForest, to show the structural constraints and semantics of the input query
and assist in producing the output queries. We have constructed the complete translation
system and shown its effectiveness. Experimental results also demonstrate that the system
is very efficient.
|Appears in Collections:||[資訊工程學系] 期刊論文|
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