A Context-Preserving Fusion Transformation for a Graph Query Language used in Data Integration

2014 Fiscal Year Final Research Report

• Project/Area Number: 23500055
• 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): 2011-04-28 – 2015-03-31
• Keywords: 関数型言語 / 融合変換 / 副作用 / XQuery / 最適化

Outline of Final Research Achievements

In this research, context-preserving fusion has been developed. So far, fusion transformation works only for side-effect free languages. However, XQuery, which is a query language to XML data, has a side-effect when it is typically used in data integration settings. Most of real world entities can be represented in graph structures. XQuery can handle graph structures. In this work, a sound context-preserving XQuery fusion has been developed. Also, the class of the queries and the schema has been investigated to show the completeness of the fusion.

Free Research Field

データベースプログラミング言語