[PDF] Top 20 Grid Data Integration Based on Schema Mapping
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Grid Data Integration Based on Schema Mapping
... OGSA Data Access and Inte- gration (OGSA-DAI) [5] and the OGSA Distributed Query Processor (OGSA- DQP) [6] ...meet schema-integration issues necessary for establishing semantic connections among ... See full document
10
Incremental knowledge based system for schema mapping
... In order to determine the similarity between instances, all the instances of a schema element are combined into a virtual document. In this way, many virtual documents are created from all the schema ... See full document
230
Web Services Based Integration Tool for Heterogeneous Databases
... an integration system that consists of two subsystems (tools): integration sub-system (tool) and query (sub-system) ...The integration tool has been built for integrating data from different ... See full document
11
Self-adaptive Based Model for Ambiguity Resolution of The Linked Data Query for Big Data Analytics
... of data type and data ...BDI based on assistive query interface (as shown in Figure 1) which are (i) query decomposition, concept equivalence, schema mapping, ontology ... See full document
7
A Big Grid Data Manage Method and Its Implementation
... amount grid data is unable to meet needs more and ...monitoring data management for a large area as an example, if using the common grid data managing method it is difficult to execute ... See full document
6
Virtual Database Technology for Distributed Database in Ubiquitous Computing Environment
... XML schema conversion have been ...XML-to-relational mapping framework and system that provides the first comprehensive and end-to-end solution to the relational storage of XML ...storage mapping ... See full document
13
A Data Synchronization based Single Sign-on Schema Supporting Heterogeneous Systems and Multi-Management Mode
... With the development of IT technology, generally there are many information systems in the enterprises. These systems have their own user information management and authentication mechanism. Every user needs to remember ... See full document
5
Using ontology mapping to automate derivation of transformations for data integration
... The first question concerns the use of ontologies as input. As described in the previous chapters, the input for the editor should be in the form of ontologies. But Quartel et al. [20] describe that they use Java classes ... See full document
92
iRODS_HIVE integration: A Metadata Annotation System in DFC Data Grid
... are hosted by DFC, including ocean observations, hydrologic science, engineering education and archives, plant genome sequences, and social science research. HIVE technology takes advantage of multiple ... See full document
29
Data access and integration in the ISPIDER proteomics grid
... access data resources and invoke analyses on the values retrieved ...converting data between formats. Perhaps the most widely used data integration system in bioinformatics is SRS ...from ... See full document
17
Schema Level and Data Level Mapping Composition
... and data mappings constitute essential build- ing blocks of data integration, data exchange and peer-to-peer data sharing ...either schema-level mappings or data- level ... See full document
5
SemLinker: automating big data integration for casual users
... ous data sources based on their associated schema metadata, more formally, local sche- ...framework’s integration workflow is to maintain a mediated schema ...mediated schema and ... See full document
26
Detection of Repetition Data in XML Storage
... character based similarity metric and token based similarity metrics explanation for the filed matching ...techniques. Schema matching is the problem of generating correspondences between elements of ... See full document
5
Research and Application of Construction of Operation Integration for Smart Power Distribution and Consumption Based on “Integration of Marketing with Distribution”
... distribution integration system ” researched and developed by this article is an advanced application platform to concurrently design and develop the automation of marketing and power distribution through ... See full document
6
Data mining for business intelligence with data integration
... source data files. Data federation technique normally employs a metadata reference file to connect related customer information together based on a common ...key. Data federation always pulls ... See full document
5
A metadata approach for clinical data management in translational genomics studies in breast cancer
... integrating data from multiple sources is very similar to those addressed by federated database sys- tems [14,15]; a simplistic view of these is that they allow multiple databases, with different schemas, to be ... See full document
10
Extended Schema Extraction and Evolution
... different data models, need to evolve into a common, integrated, multi database schema that supports efficient and transparent data sharing among the component ... See full document
6
Integrating Geographical Information Systems and Grid Applications
... We store information gathered from users’ interactions with the portal interface in a generic, recursively defined XML data structure. Typically we store input parameters and choices made by the user so that we ... See full document
28
Transfer Between Analogies: How Solving One Analogy Problem Helps to Solve Another
... In this study, we test these two competing accounts of transfer between analogy, problem-solving episodes. The materials used are attribute-mapping and relational- mapping problems. In particular, I examine ... See full document
26
Data Integration Hub for a Hybrid Paper Search
... – File upload: after an upload request is granted by the integrant, the client can send a file for the unstructured data. For the file uploading, we use a ByteMessage type message, which is appropriate for sending ... See full document
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