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Knowledge sharing in the health scenario.

Lluch-Ariet M, Brugués de la Torre A, Vallverdú F, Pegueroles-Vallés J - J Transl Med (2014)

Bottom Line: When bilateral agreements between two nodes of a network are not enough to solve the constraints for accessing to a certain data set, multilateral agreements for data exchange are needed.Different strategies to reduce the number of messages needed to achieve an agreement are also considered.The results show that with this collaborative sharing scenario the percentage of data collected dramaticaly improve from bilateral agreements to multilateral ones, up to reach almost all data available in the network.

View Article: PubMed Central - HTML - PubMed

ABSTRACT
The understanding of certain data often requires the collection of similar data from different places to be analysed and interpreted. Interoperability standards and ontologies, are facilitating data interchange around the world. However, beyond the existing networks and advances for data transfer, data sharing protocols to support multilateral agreements are useful to exploit the knowledge of distributed Data Warehouses. The access to a certain data set in a federated Data Warehouse may be constrained by the requirement to deliver another specific data set. When bilateral agreements between two nodes of a network are not enough to solve the constraints for accessing to a certain data set, multilateral agreements for data exchange are needed. We present the implementation of a Multi-Agent System for multilateral exchange agreements of clinical data, and evaluate how those multilateral agreements increase the percentage of data collected by a single node from the total amount of data available in the network. Different strategies to reduce the number of messages needed to achieve an agreement are also considered. The results show that with this collaborative sharing scenario the percentage of data collected dramaticaly improve from bilateral agreements to multilateral ones, up to reach almost all data available in the network.

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The Architecture of the system. The architecture of the MOSAIC System, showing the data flow among the agents. The Data Petitioner Node solves the constraint: 1) data delivery to third nodes, 2) data collection from third nodes needed to fulfill a constraint and 3) delivery of data requested. The Data Contributor node concludes the transaction: 4) delivery of the data requested.
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Related In: Results  -  Collection

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Figure 1: The Architecture of the system. The architecture of the MOSAIC System, showing the data flow among the agents. The Data Petitioner Node solves the constraint: 1) data delivery to third nodes, 2) data collection from third nodes needed to fulfill a constraint and 3) delivery of data requested. The Data Contributor node concludes the transaction: 4) delivery of the data requested.

Mentions: The agent oriented abstraction fits well in the knowledge sharing scenario due to its distributed and dynamic nature. MOSAIC (see Figure 1) is a Multy-Agent System that facilitates the multilateral data exchange in a network by providing mechanisms for the intelligent search of paths to reach the datasets requested, involving a set of nodes in multilateral agreements. The MOSAIC System is composed by a set of interconnected nodes each one with its associated Data Mart and the Agent Platform to host the following Agents:


Knowledge sharing in the health scenario.

Lluch-Ariet M, Brugués de la Torre A, Vallverdú F, Pegueroles-Vallés J - J Transl Med (2014)

The Architecture of the system. The architecture of the MOSAIC System, showing the data flow among the agents. The Data Petitioner Node solves the constraint: 1) data delivery to third nodes, 2) data collection from third nodes needed to fulfill a constraint and 3) delivery of data requested. The Data Contributor node concludes the transaction: 4) delivery of the data requested.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4255915&req=5

Figure 1: The Architecture of the system. The architecture of the MOSAIC System, showing the data flow among the agents. The Data Petitioner Node solves the constraint: 1) data delivery to third nodes, 2) data collection from third nodes needed to fulfill a constraint and 3) delivery of data requested. The Data Contributor node concludes the transaction: 4) delivery of the data requested.
Mentions: The agent oriented abstraction fits well in the knowledge sharing scenario due to its distributed and dynamic nature. MOSAIC (see Figure 1) is a Multy-Agent System that facilitates the multilateral data exchange in a network by providing mechanisms for the intelligent search of paths to reach the datasets requested, involving a set of nodes in multilateral agreements. The MOSAIC System is composed by a set of interconnected nodes each one with its associated Data Mart and the Agent Platform to host the following Agents:

Bottom Line: When bilateral agreements between two nodes of a network are not enough to solve the constraints for accessing to a certain data set, multilateral agreements for data exchange are needed.Different strategies to reduce the number of messages needed to achieve an agreement are also considered.The results show that with this collaborative sharing scenario the percentage of data collected dramaticaly improve from bilateral agreements to multilateral ones, up to reach almost all data available in the network.

View Article: PubMed Central - HTML - PubMed

ABSTRACT
The understanding of certain data often requires the collection of similar data from different places to be analysed and interpreted. Interoperability standards and ontologies, are facilitating data interchange around the world. However, beyond the existing networks and advances for data transfer, data sharing protocols to support multilateral agreements are useful to exploit the knowledge of distributed Data Warehouses. The access to a certain data set in a federated Data Warehouse may be constrained by the requirement to deliver another specific data set. When bilateral agreements between two nodes of a network are not enough to solve the constraints for accessing to a certain data set, multilateral agreements for data exchange are needed. We present the implementation of a Multi-Agent System for multilateral exchange agreements of clinical data, and evaluate how those multilateral agreements increase the percentage of data collected by a single node from the total amount of data available in the network. Different strategies to reduce the number of messages needed to achieve an agreement are also considered. The results show that with this collaborative sharing scenario the percentage of data collected dramaticaly improve from bilateral agreements to multilateral ones, up to reach almost all data available in the network.

Show MeSH