Managing Inconsistencies in Data Grid Environments

2012 ◽  
pp. 303-316
Author(s):  
Ejaz Ahmed ◽  
Nik Bessis ◽  
Peter Norrington ◽  
Yong Yue
Keyword(s):  
Data Access ◽  
Heterogeneous Data ◽  
Data Mapping ◽  
Data Systems ◽  
Grid Environment ◽  
Federated Databases ◽  
Matching Process ◽  
Generic Strategy ◽  
Service Oriented ◽  
Matching Strategy

Much work has been done in the area of data access and integration using various data mapping, matching, and loading techniques. One of the main concerns when integrating data from heterogeneous data sources is data redundancy. The concern is mainly due to the different business contexts and purposes from which the data systems were originally built. A common process for accessing data from integrated databases involves the use of each data source’s own catalogue or metadata schema. In this article, the authors take the view that there is a greater chance of data inconsistencies, such as data redundancies when integrating them within a grid environment as compared to traditional distributed paradigms. The importance of improving the data search and matching process is briefly discussed, and a partial service oriented generic strategy is adopted to consolidate distinct catalogue schemas of federated databases to access information seamlessly. To this end, a proposed matching strategy between structure objects and data values across federated databases in a grid environment is presented.

Managing Inconsistencies in Data Grid Environments

2010 ◽  
Vol 2 (4) ◽  
pp. 51-64 ◽  
Author(s):  
Ejaz Ahmed ◽  
Nik Bessis ◽  
Peter Norrington ◽  
Yong Yue
Keyword(s):  
Data Access ◽  
Heterogeneous Data ◽  
Data Mapping ◽  
Data Systems ◽  
Grid Environment ◽  
Federated Databases ◽  
Matching Process ◽  
Generic Strategy ◽  
Service Oriented ◽  
Matching Strategy

Much work has been done in the area of data access and integration using various data mapping, matching, and loading techniques. One of the main concerns when integrating data from heterogeneous data sources is data redundancy. The concern is mainly due to the different business contexts and purposes from which the data systems were originally built. A common process for accessing data from integrated databases involves the use of each data source’s own catalogue or metadata schema. In this article, the authors take the view that there is a greater chance of data inconsistencies, such as data redundancies when integrating them within a grid environment as compared to traditional distributed paradigms. The importance of improving the data search and matching process is briefly discussed, and a partial service oriented generic strategy is adopted to consolidate distinct catalogue schemas of federated databases to access information seamlessly. To this end, a proposed matching strategy between structure objects and data values across federated databases in a grid environment is presented.

Data Inter-Operability Driven by Oceanic Data Assimilation Needs

1999 ◽  
Vol 33 (3) ◽  
pp. 55-66 ◽  
Author(s):  
L. Charles Sun
Keyword(s):  
Data Assimilation ◽  
Data Access ◽  
Heterogeneous Data ◽  
Environmental Data ◽  
Ocean Dynamics ◽  
Data Systems ◽  
Oceanographic Data ◽  
Ease Of Access ◽  
Access To Data ◽  
Station Location

An interactive data access and retrieval system, developed at the U.S. National Oceanographic Data Genter (NODG) and available at <ext-link ext-link-type="uri" href="http://www.node.noaa.gov">http://www.node.noaa.gov</ext-link>, is presented in this paper. The purposes of this paper are: (1) to illustrate the procedures of quality control and loading oceanographic data into the NODG ocean databases and (2) to describe the development of a system to manage, visualize, and disseminate the NODG data holdings over the Internet. The objective of the system is to provide ease of access to data that will be required for data assimilation models. With advances in scientific understanding of the ocean dynamics, data assimilation models require the synthesis of data from a variety of resources. Modern intelligent data systems usually involve integrating distributed heterogeneous data and information sources. As the repository for oceanographic data, NOAA’s National Oceanographic Data Genter (NODG) is in a unique position to develop such a data system. In support of the data assimilation needs, NODG has developed a system to facilitate browsing of the oceanographic environmental data and information that is available on-line at NODG. Users may select oceanographic data based on geographic areas, time periods and measured parameters. Once the selection is complete, users may produce a station location plot, produce plots of the parameters or retrieve the data.

Data Access and Data Systems

2010 ◽  
pp. 127-143 ◽  
Author(s):  
Ruixin Yang ◽  
Hampapuram Ramapriyan ◽  
Carol Meyer
Keyword(s):  
Data Access ◽  
Data Systems

scholarly journals An Iterative Automatic Final Alignment Method in the Ontology Matching System

2018 ◽  
Vol 42 (1) ◽  
pp. 39-61 ◽  
Author(s):  
Marko Gulić ◽  
Marin Vuković
Keyword(s):  
Heterogeneous Data ◽  
Data Sources ◽  
Ontology Matching ◽  
Alignment Method ◽  
Automatic Adjustment ◽  
Matching Process ◽  
Heterogeneous Data Sources ◽  
Final Alignment

Ontology matching plays an important role in the integration of heterogeneous data sources that are described by ontologies. In order to determine correspondences between ontologies, a set of matchers can be used. After the execution of these matchers and the aggregation of the results obtained by these matchers, a final alignment method is executed in order to select appropriate correspondences between entities of compared ontologies. The final alignment method is an important part of the ontology matching process because it directly determines the output result of this process. In this paper we improve our iterative final alignment method by introducing an automatic adjustment of final alignment threshold as well as a new rule for determining false correspondences with similarity values greater than adjusted threshold. An evaluation of the method is performed on the test ontologies of the OAEI evaluation contest and a comparison with other final alignment methods is given.

scholarly journals Technical Architecture of Enabling Body of Knowledge System for Effective Learning and Information Dissemination

2013 ◽  
Vol 10 (2) ◽  
pp. 41-62
Author(s):  
Liang-Jie Zhang ◽  
Jia Zhang
Keyword(s):  
Information Dissemination ◽  
Service Oriented Architecture ◽  
Heterogeneous Data ◽  
Well Performance ◽  
Services Computing ◽  
Body Of Knowledge ◽  
Urgent Task ◽  
Technical Architecture ◽  
Service Oriented ◽  
Delivery Platform

In the current era of knowledge explosion, many fields are witnessing a tremendous amount of research and practice reported on a regular basis. How to help people effectively and efficiently study state-of-the-art knowledge in a specific field has become an urgent task yet highly challenging. On top of the Internet as an unstructured knowledge base, this paper reports the design and development of a Body of Knowledge portal (BoK), which can be used as a novel learning environment. Leveraging the key technologies of services computing (Web 2.0, Web services and Service-Oriented Architecture), a BoK provides a uniform gateway for researchers and practitioners to seamlessly study and organize knowledge from heterogeneous data sources. A service-oriented knowledge delivery mechanism is key to a BoK centered on configurable delivery protocols. As services computing having evolved as the foundational discipline supporting modern services industry, the authors used the field as an example to illustrate the technical architecture that enables the establishment of BoK in services computing. Information dissemination of BoK on mobile delivery platform is explored as well. Performance data analysis is also reported on the BoK infrastructure.

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