Rewriting XQuery using Schema Mappings to Solve Data Interoperability Problems

2017 Fiscal Year Final Research Report

• Project/Area Number: 26330097
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Software
• Research Institution: National Institute of Informatics
• Principal Investigator: KATO Hiroyuki 国立情報学研究所, コンテンツ科学研究系, 助教 (10321580)
• Project Period (FY): 2014-04-01 – 2018-03-31
• Keywords: XQuery / 静的解析 / 最適化

Outline of Final Research Achievements

In the data interoperability problem, the goal of which is to provide a uniform access to different data structure having the same meaning data, XML/XQuery are used because XML has been developed for data exchanging format and XQuery is a query language of XML. The reason why XML/XQuery ended up failing in prattle is in their "heavily ordered" feature as pointed out in FADS2017, an international workshop on Failed Aspirations in Database Systems.
In this research, we developed a method for rewriting XQuery to optimize a twig query, which is a typical use of XQuery. Also, the experimental results shows efficiency of the method.

Free Research Field

データベースプログラミング言語