The Experts below are selected from a list of 44145 Experts worldwide ranked by ideXlab platform
Chunxia Zhang - One of the best experts on this subject based on the ideXlab platform.
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sdo based Data Integration Solution for civil aviation information system
Computational Intelligence, 2009Co-Authors: Wenpu Huang, Chunxia ZhangAbstract:This paper discusses the Data Integration Solution for the civil aviation information system which is based on SOA and deals with many kinds of Data from various machines and places. Therefore the need of heterogeneous Data Integration becomes a pretty important concern of the overall design of the system. SDO provides us with a unified and mature programming framework for SOA based development. So here we state how to effectively embed SDO in the development of our system. It includes a Data Integration Solution for a common enterprise application and the extension on top of traditional SDO usage.
Roger H L Chiang - One of the best experts on this subject based on the ideXlab platform.
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accommodating instance heterogeneities in Database Integration
Decision Support Systems, 2004Co-Authors: Eepeng Lim, Roger H L ChiangAbstract:A complete Data Integration Solution can be viewed as an iterative process that consists of three phases, namely analysis, derivation and evolution. The entire process is similar to a software development process with the target application being the derivation roles for the integrated Databases. In many cases, Data Integration requires several iterations of refining the local-to-global Database mapping rules before a stable set of rules can be obtained. In particular, the mapping rules, as well as the Data model and query model for the integrated Databases have to cope with poor Data quality in local Databases, ongoing local Database updates and instance heterogeneities. In this paper, we therefore propose a new object-oriented global Data model, known as OORA, that can accommodate attribute and relationship instance heterogeneities in the integrated Databases. The OORA model has been designed to allow Database integrators and end users to query both the local and resolved instance values using the same query language throughout the derivation and evolution phases of Database Integration. Coupled with the OORA model, we also define a set of local-to-global Database mapping rules that can detect new heterogeneities among Databases and resolve instance heterogeneities if situations permit.
Wenpu Huang - One of the best experts on this subject based on the ideXlab platform.
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sdo based Data Integration Solution for civil aviation information system
Computational Intelligence, 2009Co-Authors: Wenpu Huang, Chunxia ZhangAbstract:This paper discusses the Data Integration Solution for the civil aviation information system which is based on SOA and deals with many kinds of Data from various machines and places. Therefore the need of heterogeneous Data Integration becomes a pretty important concern of the overall design of the system. SDO provides us with a unified and mature programming framework for SOA based development. So here we state how to effectively embed SDO in the development of our system. It includes a Data Integration Solution for a common enterprise application and the extension on top of traditional SDO usage.
Eepeng Lim - One of the best experts on this subject based on the ideXlab platform.
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accommodating instance heterogeneities in Database Integration
Decision Support Systems, 2004Co-Authors: Eepeng Lim, Roger H L ChiangAbstract:A complete Data Integration Solution can be viewed as an iterative process that consists of three phases, namely analysis, derivation and evolution. The entire process is similar to a software development process with the target application being the derivation roles for the integrated Databases. In many cases, Data Integration requires several iterations of refining the local-to-global Database mapping rules before a stable set of rules can be obtained. In particular, the mapping rules, as well as the Data model and query model for the integrated Databases have to cope with poor Data quality in local Databases, ongoing local Database updates and instance heterogeneities. In this paper, we therefore propose a new object-oriented global Data model, known as OORA, that can accommodate attribute and relationship instance heterogeneities in the integrated Databases. The OORA model has been designed to allow Database integrators and end users to query both the local and resolved instance values using the same query language throughout the derivation and evolution phases of Database Integration. Coupled with the OORA model, we also define a set of local-to-global Database mapping rules that can detect new heterogeneities among Databases and resolve instance heterogeneities if situations permit.
Yang Jun - One of the best experts on this subject based on the ideXlab platform.
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research and application of the Data Integration Solution based on xml
Computer and Information Technology, 2002Co-Authors: Yang JunAbstract:It is always a need that the enterprises integrate the applications inside and outside the enterprises,in order to improve the cooperation and competition.Data Integration,as the basis of System Integration,is vital for the success of System Integration or not.In this paper,we first put forword a Solution of Data Integration based on XML technology,then discuss it's feasibility and advantage through applied in the cooperation of the bank and the carriers.
