TinkerPop3: Taking graph databases and graph analytics to the next level by Matthias Broecheler.
Abstract:
Apache TinkerPop is an open source graph computing framework which includes the graph traversal language Gremlin and a number of graph utilities that speed up the development of graph based applications. Apache TinkerPop provides an abstraction layer on top of popular graph databases like Titan, OrientDB, and Neo4j as well as scalable computation frameworks like Hadoop and Spark allowing developers to build graph applications that run on multiple platforms avoiding vendor lock-in.
This talk gives an overview of the new features introduced in TinkerPop3 with a deep-dive into query language design, query optimization, and the convergence of OLTP and OLAP in graph processing. A demonstration of TinkerPop3 with the scalable Titan graph database illustrates how these concepts work in practice.
It’s not all the information you will need about TinkerPop3 but should be enough to get you interested in learning more, a lot more.
I had a conversation recently on how to process topic maps with graphs, at least if you were willing to abandon the side-effects detailed in the Topic Maps Data Model (TMDM). More on that to follow.
Hi, I’m trying to figure out whether we can implement Topic Maps with TinkerPop. It doesn’t have to be the complete implementation – just the basic foundations to develop basic ontologies. DId you figure out whether you can process topic maps with graphs?
thanks!
Comment by haikal — August 1, 2015 @ 1:49 pm