An introduction to Graph Data Management

A graph database is a database where the data structures for the schema and/or instances are modeled as a (labeled)(directed) graph or generalizations of it, and where querying is expressed by graph-oriented operations and type constructors. In this article we present the basic notions of graph databases, give an historical overview of its main development, and study the main current systems that implement them

FoodBroker - Generating Synthetic Datasets for Graph-Based Business Analytics

Abstract. We present FoodBroker, a new data generator for bench-marking graph-based business intelligence systems and approaches. It covers two realistic business processes and their involved master and transactional data objects. The interactions are correlated in controlled ways to enable non-uniform distributions for data and relationships. For benchmarking data integration, the generated data is stored in two in-terrelated databases. The dataset can be arbitrarily scaled and allows comprehensive graph- and pattern-based analysis

Graph Representation

In this chapter, we review different graph implementation alternatives that have been proposed in the literature. Our objective is to provide the readers with a broad set of alternatives to implement a graph, according to their needs. We pay special attention to the techniques that enable the management of large graphs. We also include a description of the most representative libraries available for representing graphs.</jats:p

Data assimilation in ocean circulation models with systematic errors

Available from British Library Document Supply Centre-DSC:DXN044854 / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo