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Cloud computing opens exciting research opportunities for Unibus in terms of aggregation challenges.
HDT PHYSICS EXTENSION XML FIRM DRIVERS
In order to achieve that the Unibus approach explores: (1) virtualization of access to diverse resources via proposing the Capability Model and developing specific resource drivers to concrete resources, and (2) soft and successive conditioning to enable automatic and transparent to the user's resource provisioning. Our on-going Unibus project aims to provide a flexible ap- proach to provisioning and aggregation of multifaceted resources and facilitate resource usage for both resource providers and end-users. In this paper we examine the feasibility of running message passing applications across clouds.
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SPARQL queries to obtain an evaluation algorithm with time and spaceĬomplexity linear in the number of resources in the queried RDF graph. Previous approaches (which are mostly limited to tree-shaped data).įinally, we show how this labeling scheme can be applied to (acyclic) Of acyclic RDF queries on a significantly larger class of graphs than Retains this property and thus achieves linear time and space processing Second part, we introduce the first labeling scheme for RDF data that Space) test for adjacency (child) and reachability (descendant). Properties of XML labeling schemes, the constant time (and per-node (and graph data in general) sacrifice one of the most attractive However, the existing indexing and labeling schemes for RDF XML, in particular for mapping XML to existing (relational) database Labeling schemes are an important part of the widespread adoption of Support for efficient adjacency and reachability queries. Indexing and labeling schemes for RDF and other graph datawith focus on However, for RDF (and when querying ID/IDREF constraints in XML) data is Shaped data, reflecting the view of XML documents as tree-shaped. Indices and data structures for web querying have mostly considered tree