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Distributed Knowledge Representation using Universal Identity and Replication Peter Lucas, Jeff Seen, Dominic Windows Lucas, seen, windows maya.com MAYA Design Inc. Technical Report MAYA-05007 Abstract.
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Distributed knowledge representation uses a decentralized approach to store and share knowledge across multiple nodes or systems.
Any individual or organization that wishes to leverage the benefits of distributed knowledge representation can choose to implement it.
Filling out distributed knowledge representation involves designing and implementing a suitable system architecture, defining the representation format, and establishing communication protocols between the distributed nodes.
The purpose of distributed knowledge representation is to facilitate efficient storage, retrieval, and sharing of knowledge across multiple interconnected systems or nodes.
The specific information that needs to be reported on distributed knowledge representation depends on the application and domain. It can include facts, relationships, rules, ontologies, and more.
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