SDQNET: Semantic Distributed Querying in Loosely Coupled Data Sources

Research environments for modern, cross-disciplinary scientific endeavors have to unite multiple users, with varying levels of expertise and roles, along with multitudes of data sources and processing units. The high level of required integration contrasts with the loosely-coupled nature of environments which are appropriate for research. The problem is to support integration of dynamic service-based infrastructures with data sources, tools and users in a way that conserves ubiquity, extensibility and usability. This chapter presents a close examination of related achievements in the field and the description of proposed approach. It shows that integration of loosely-coupled system components with formallydefined vocabularies may fulfill the listed requirements. The authors demonstrate that combining formal representations of domain knowledge with techniques like data integration, semantic annotations and shared vocabularies, enables the development of systems for modern e-Science. For demonstration they present how several semantically-augmented experiments are modeled in the ViroLab virtual laboratory for virology.

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Towards a hybrid relational and XML benchmark for loosely-coupled distributed data sources

Journal of Systems and Software ◽

10.1016/j.jss.2015.07.029 ◽

2015 ◽

Vol 109 ◽

pp. 78-87 ◽

Cited By ~ 1

Author(s):

Mahesh B. Chaudhari ◽

Suzanne W. Dietrich ◽

Jennifer Ortiz ◽

Spencer Pearson

Keyword(s):

Data Sources ◽

Distributed Data ◽

Loosely Coupled

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Implementing Master-Slave P2P Mapping Paradigm in Semantic Enterprise Information Integration: An Illustrative Case Study

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.455.434 ◽

2013 ◽

Vol 455 ◽

pp. 434-437

Author(s):

Jing Tao Zhou

Keyword(s):

Information Integration ◽

Semantic Information ◽

Data Sources ◽

Illustrative Case ◽

Enterprise Information ◽

Integration System ◽

Loosely Coupled ◽

Illustrative Case Study

Master-slave P2P mapping principle proposed in our previous work [ is a semantic P2P mapping paradigm with modularity and loosely coupled characteristics. The intent of this paper is to define a common case study of this paradigm for the semantic information integration. The domain of the case study is a semantic P2P information integration system called SGII[, i.e., system that help in information coordinating and interoperating by orchestrating the content and formalization expression of master-slave P2P mapping between elements from different peer node models which represent the data exposed (shared) by data sources. Furthermore, an illustrative example of master-slave P2P mapping paradigm is given to explain how the mappings are implemented and to demonstrate the paradigm can hence be applied in semantic information integration scenarios.

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