This webinar introduces an approach to data access across heterogeneous data sources and Web service integration based on XML and XQuery. The webinar covers: using XML to create logical views of a variety of physical data sources, aggregating XML documents with relational data, consuming Web services in XQuery, and exposing XQuery as data services while writing, testing and deploying real XML and XQuery-based solutions. The paper conducts web service and analyzes Modern Manufacturing Enterprises heterogeneous data source and proposes a heterogeneous data integration system based Web Services. The system provides a possible approach to share and interactive enterprise data.
Aiming at the limitation of Open Grid Services Architecture-Data Access and Integration middleware only face to JDBC, learning from the design ideas of OGSA-DAI, based on XML and web service, this paper proposes a middleware named XML Transformation-Data Access and Integration using ADO.NET. It analyzes the component structure of the middleware, the interaction of the workflow and the underlying data resources as well as the execution process of the workflow. It describes the conversion process between XML and database. Test result shows that the middleware gets good versatility and easy scalability in heterogeneous data access.
This paper provides an ontology-based distributed heterogeneous data integration framework (ODHDIF). The framework resolves the problem of semantic interoperability between heterogeneous data sources in semantic level. By metadatas specifying the distributed, heterogeneous data and by describing semantic information of data source , having "ontology" as a common semantic model, semantic match is established through ontology mapping between heterogeneous data sources and semantic difference institutions are shielded, so that semantic heterogeneity problem of the heterogeneous data sources can be effectively solved. It provides an effective technology measure for the interior information of enterprises to be shared in time accurately.
Reconsideration of in silico siRNA design from a perspective of heterogeneous data integration: problems and solutions
