Limits...
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.

Show MeSH
Agreements. Total number of agreements using MOSAIC with different TTL values.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Figure 5: Agreements. Total number of agreements using MOSAIC with different TTL values.

Mentions: Figure 5 shows the improvement in the number of agreements, when selecting the path to follow during the network exploration according to the size of the MCC dataset, instead of a random selection among the MCC available. When an MCP child (belonging to the same branch) needs to resolve a set of constraints to obtain the desired dataset, it is more likely to have an MCC in the higher levels of its branch that can solve it when the MCC's dataset is bigger. In those cases, the MCC that will receive a data access request from a child node (belonging to the same branch) will decide to offer the requested dataset to solve the constraint as this loop will benefit the overall multilateral agreement and the MCC will also get the desired dataset initially included as a constraint.


Knowledge sharing in the health scenario.

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

Agreements. Total number of agreements using MOSAIC with different TTL values.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Figure 5: Agreements. Total number of agreements using MOSAIC with different TTL values.
Mentions: Figure 5 shows the improvement in the number of agreements, when selecting the path to follow during the network exploration according to the size of the MCC dataset, instead of a random selection among the MCC available. When an MCP child (belonging to the same branch) needs to resolve a set of constraints to obtain the desired dataset, it is more likely to have an MCC in the higher levels of its branch that can solve it when the MCC's dataset is bigger. In those cases, the MCC that will receive a data access request from a child node (belonging to the same branch) will decide to offer the requested dataset to solve the constraint as this loop will benefit the overall multilateral agreement and the MCC will also get the desired dataset initially included as a constraint.

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