Towards Persistent Storage and Retrieval of Domain Models using Graph Database Technology
Nico Hochgeschwender, Holger Voos, Gerhard K. Kraetzschmar
TL;DR
This paper explores using graph database technology to enable persistent storage and retrieval of robot domain models, aiming to improve robot knowledge management.
Contribution
It introduces a method for leveraging graph databases for storing and retrieving robot domain models, enhancing persistence and accessibility.
Findings
Graph databases effectively store robot domain models.
Retrieval of models is efficient and reliable.
Improves long-term robot knowledge management.
Abstract
We employ graph database technology to persistently store and retrieve robot domain models.
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Taxonomy
TopicsDistributed systems and fault tolerance · Optimization and Search Problems · Distributed and Parallel Computing Systems