Nested Schema Mappings for Integrating JSON
JSON has become one of the most popular data formats.Yet studies on JSON data integration(DI)are scarce.In this work,we study one of the key DI tasks,nested mapping generation in the context of integrating heterogeneous JSON based data sources.We propose a novel mapping representation,namely bucket forest mappings that models the nested mappings in an efficient and native manner.We show experimentally the practicality of our approach over six real world data sets.Moreover,via intensive experiments over synthetic scenarios we demonstrate that our approach scales well to the increasing metadata complexity of DI scenarios.
Rihan Hai Christoph Quix David Kensche
RWTH Aachen University,Aachen,Germany RWTH Aachen University,Aachen,Germany;Fraunhofer Institute for Applied Information Technology FIT,Sa SAP Innovation Center Network,Potsdam,Germany
国际会议
The 37th International Conference on Conceptual Modeling(第37届概念建模国际会议(ER2018)
西安
英文
397-405
2018-10-22(万方平台首次上网日期,不代表论文的发表时间)