Integration of Weakly Heterogeneous Semistructured Data

Abstract

While most business applications typically operate on structured data that can be effectively managed using relational databases, some applications use more complex semistructured data that lacks a stable schema. XML techniques are available for the management of semistructured data, but such techniques tend to be ineffective when applied to large amounts of heterogeneous data, in particular in applications with complex query requirements. In this paper we describe an approach that relies on the mapping of multiple semistructured data sets to objectrelational structures and uses an object-relational database to support complex query requirements. We illustrate this approach using weakly heterogeneous oceanographic data.

A Multisource Retrospective Audit Method for Data Quality Optimization and Evaluation

“…As for real-time data integration, [5] proposes reducing the integration time by using component for data warehouse, and [6,7] advocate using ODS technique for dynamic data loading process. Some data integration methods such as data dimension [8] and the market integration of the semi-structured data integration [9] were proposed to optimize the data integration quality. Pellegrino [10] for interactive visualization of data integration system has carried on the detailed research.…”