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- W2293248610 abstract "Such as relational databases, most graphs databases are OLTP databases (online transaction processing) ofgeneric use and can be used to produce a wide range of solutions. That said, they shine particularly when thesolution depends, first, on our understanding of how things are connected. This is more common than one maythink. And in many cases it is not only how things are connected but often one wants to know something aboutthe different relationships in our field - their names, qualities, weight and so on. Briefly, connectivity is thekey. The graphs are the best abstraction one has to model and query the connectivity; databases graphs in turngive developers and the data specialists the ability to apply this abstraction to their specific problems. For thispurpose, in this paper one used this approach to simulate the route planner application, capable of queryingconnected data. Merely having keys and values is not enough; no more having data partially connected throughjoins semantically poor. We need both the connectivity and contextual richness to operate these solutions.The case study herein simulates a railway network railway stations connected with one another where eachconnection between two stations may have some properties. And one answers the question: how to find theoptimized route (path) and know whether a station is reachable from one station or not and in which depth." @default.
- W2293248610 created "2016-06-24" @default.
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- W2293248610 date "2015-01-01" @default.
- W2293248610 modified "2023-10-17" @default.
- W2293248610 title "Graph Database Application using Neo4j - Railroad Planner Simulation" @default.
- W2293248610 doi "https://doi.org/10.5220/0005469003990403" @default.
- W2293248610 hasPublicationYear "2015" @default.
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