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Datawarehouses can be extremely large and ressource demanding, which is not always affordable in a local environment. Hence, in order to deal with the big amounts of data held in the datawarehouses, Cloud warehousing seems to be the solution. On the other hand, many entreprises use datawarehouses for data analysis and use XML to deal with semi-structured data but also to take advantage of the web...
The volume of XML data is tremendous in many areas, especially in data logging and scientific areas. XPath query is the core operation of XML process. It is a challenge to query massive XML data stored in a distributed manner. In this paper, we present an efficient distributed XPath query processing using MapReduce, which simultaneously processes queries for a massive volume of XML data. We first...
For manufacturing industry seamless workflows along the whole product lifecycle are crucial for sustainable success. Although the integration of all used systems to a single supersystem is not reasonable, the integration of data is essential. This contribution introduces a model-based concept to integrate data elements of distributed data systems and sources to one virtual database. Specific view...
At present, the power system is building up on top of a series of auxiliary systems for examples communication systems, monitoring systems, marketing systems and so on. All the systems work based on the shared power system data which are defined using Common Information Model (CIM). Due to diversiform reasons, errors may exist in the data. Therefore the verification technologies are developed. So...
At present, the power system is building up on top of a series of auxiliary systems for examples communication systems, monitoring systems, marketing systems and so on. All the systems work based on the shared power system data which are defined using Common Information Model (CIM). Due to diversiform reasons, errors may exist in the data. Therefore the verification technologies are developed. So...
In the Internet of Things (IoT) era, we need to face increased masses of cross-domain data stored in different formats (either relational, XML, JSON, textual) and data streams (produced by sensors), that can be highly or loosely structured and need to be integrated for analysis. Recently, many NoSQL systems (e.g., MongoDB, Cassandra, HBASE) have been born for coping the scalability issues of current...
Aiming at the existing problems with traditional integration technology, the system structure, service and workflow of OGSA-DAI are analyzed thoroughly. Based on OGSA-DAI extension, the data heterogeneity of semantic is shielded by schema mapping. An integration model is proposed to solve data integration and distributed query under the grid environment, achieving transparent access to distributed...
With the growing of the Internet, lots of heterogeneous relational databases are built in distributed environment. Data exchange between these databases absorbs more attention of researchers and engineers nowadays than ever. As a well-formed makeup language, XML is suitable to store and transfer information. Therefore we investigate the data exchange method via XML in this paper. We analyze mapping...
One of the difficulties of exchange of isomerism database is to resolve the problem of data transmission between databases with different structure. Extensible markup language (XML) is described by the format which is unrelated to platform, language and protocol. It can resolve format problem in data exchange. It provides the best data model and exchange standard for isomerism database. JMS has platform...
This paper discusses the modern approach of the implementation of Software as a Service (SaaS) for NASA as a way to reduce cost and increase efficiency. The Grid XML Datastore Framework is an extension of SaaS framework based on eXtensible Database technology (XDB). This is implemented to support the Innovative Partnership Program (IPP) for its Technology Transfer System (NTTS) project. NTTS supports...
the most important requirement to support cooperative work among health professionals is the ability of sharing Electronic Healthcare Records. This is particularly difficult due to the intrinsic complexity and heterogeneity of the health domain. One approach to overcoming heterogeneity relies on the agreement on a set of domain-specific concepts that hide the particularities of the source EHRs. In...
Spatial statistic data is location related data which could be visualized on a map that forms a thematic map. Nowadays, more and more spatial related data could be reached through internet as the development of geospatial data sharing. Traditionally, cartography of these data is done by experts manually; however, automatic cartography of the spatial statistic data could be of value to the users in...
With the tremendous growth of the Web, a broad spectrum of accommodation information is available on the Internet. In order to adequately support online information users in collecting and sharing accommodation related information, it is important to create an effective information integration solution. Existing data integration approaches such as the wrapper-mediator approach provide generic solutions...
Due to the complexity of spatial data and its application of the professional, and it gives challenges to spatial data processing. In the paper, the characteristics of spatial datum were analyzed, combining with the cooperation behaviors of geographical spatial data, and study on based on an integrated management of multi-source heterogeneous spatial data and content system of space metadata, puts...
This paper proposes a heterogeneous data integration method based on object mapping to solve the problem of mass of heterogeneous data existing in online application of science and technology programs. Based on specific data standards, this method organizes data into tree models through aggregation of logic, describes the file structures of different science and technology programs through redefining...
The Web has completely changed the way in which we share data, rapidly shifting us from a world of paper documents to a world of digital objects that include online documents, videos, photos, artwork, and databases. This shift has also made data management an increasingly complex problem as applications take advantage of loosely coupled resources brought together by distributed computing systems and...
In view of the shortcomings of traditional distributed technologies such as CORBA, DCOM +, J2EE in achieving information sharing and exchange among autonomy, distributed, heterogeneous data sources, a U-B-M three-layer information integration architecture is presented. This architecture is applied to information integration platform for gas fields with MAS, the virtual data center framework based...
To solve the interoperability is sure between mobile agent and struts 2, Combining the advantages of both, a new Aglet-struts 2 integrated development framework based on MVC is proposed. This framework integrates mobile agent with struts 2 control action, JSP view and java Bean model in together by the aglet action service proxy, and achieves transparent access to database by persistent layer Hiberanate...
Researches on data integration, data transformation are made much of with marine data because of its characteristics of polymorphism, multi-sources and great capacity etc. This paper provides an integration system of distributed heterogeneous data based on Web Service-related technology and data-centered model. Considering of the problem of different physical storage of heterogeneous data, this paper...
In Structural Engineering Experiment Grid (SEEGrid), there are huge amounts of heterogeneous data distributed in different experimental sites. This paper summarizes a conceptual model of the experimental data, and based on this conceptual model, Structural Engineering Experimental Data Management Framework (SEEDMF) is proposed to manage the structured data and unstructured. In addition, the heterogeneity...
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