gst-Store: An Engine for Large RDF Graph Integrating Spatiotemporal Information
نویسندگان
چکیده
In this paper, we present a spatiotemporal information integrated RDF data management system, called g-Store. In g-Store, some entities have spatiotemporal features, and some statements have valid time intervals and occurring locations. We introduce some spatiotemporal assertions into the SPARQL query language to answer the spatiotemporal range queries and join queries. Some examples are listed to demonstrate our demo.
منابع مشابه
S-store: An Engine for Large RDF Graph Integrating Spatial Information
The semantic web data and the SPARQL query language allow users to write precise queries. However, the lack of spatial information limits the use of the semantic web data on position-oriented query. In this paper, we introduce spatial SPARQL, a variant of SPARQL language, for querying spatial information integrated RDF data. Besides, we design a novel index SS-tree for evaluating the spatial qu...
متن کاملA Scale-Out RDF Molecule Store for Improved Co-Identification, Querying and Inferencing
Semantic inferencing and querying across large scale RDF triple stores is notoriously slow. Our objective is to expedite this process by employing Google’s MapReduce framework to implement scale-out distributed querying and reasoning. This approach requires RDF graphs to be decomposed into smaller units that are distributed across computational nodes. RDF Molecules appear to offer an ideal appr...
متن کاملA Distributed Graph Engine for Web Scale RDF Data
Much work has been devoted to supporting RDF data. But state-of-the-art systems and methods still cannot handle web scale RDF data effectively. Furthermore, many useful and general purpose graph-based operations (e.g., random walk, reachability, community discovery) on RDF data are not supported, as most existing systems store and index data in particular ways (e.g., as relational tables or as ...
متن کاملPolicy-Based Access Control for an RDF Store
Specialized stores for RDF data are essential parts of many Semantic Web applications. Current RDF stores have primarily focused on efficiently storing and querying large volumes of data and little attention has been given other features common to many database systems, including how information can updated and maintained or access to data controlled. The problem is complicated by the fact that...
متن کاملGRAPHIUM: Visualizing Performance of Graph and RDF Engines on Linked Data
Graph size, density, and number of labels negatively impact on the performance of all the engines. Graph summarization seems to be more affected by the graph density and the number of labels. Dense graph is more influenced by the size of the graphs. RDF-3X outperforms the rest of the engines in pattern matching and graph creation. DEX seems to overcome the rest of the engines when the graphs ar...
متن کامل