Sparklis lets you explore a RDF dataset through a SPARQL endpoint without the need to read or write SPARQL queries. Queries are displayed in natural language syntax, and are incrementally built by clicking suggested query elements, and by inserting them at the current focus. Only relevant suggestions are made, so that empty results are avoided.
What is the Semantic Web? Read on for a brief introduction to the Semantic Web, how to get started using it, and to understand why we should invest in making our content semantic.
Ontotext GraphDB is a highly-efficient and robust graph database with RDF and SPARQL support. This documentation is a comprehensive guide, which explains every feature of GraphDB as well as topics such as setting up a repository, loading and working with data, tuning its performance, scaling, etc.
Here is a short overview and comparison of RDF querying with SPARQL and Jena which is presented as follows: 1. SPARQL; 2. SPARQL from inside Jena; 3. Explicit and implicit relations when querying with Jena 4.Querying remote SPARQL endpoitns
Here is a short overview and comparison of RDF querying with SPARQL and Jena which is presented as follows: 1. SPARQL; 2. SPARQL from inside Jena; 3. Explicit and implicit relations when querying with Jena 4.Querying remote SPARQL endpoitns
he LUPOSDATE SPARQL system supports various approaches to manage RDF data and process SPARQL queries: Index, RDF3X, Stream, Jena and Sesame. Jena [21] and Sesame [3] refer to third-party SPARQL engines. Index is our in-memory Engine presented in [6]. Stream is our stream-based implementation (see [10]). RDF3X is a re-implementation of [14], but is further enhanced with additional optimization strategies.
This tutorial shows how to do a visual analysis and basic statistical analysis of the data in the Linked Open Piracy data set. It makes use of the SPARQL Package for R and the ggmap package. For another tutorial of how to use the SPARQL Package, in combination with the sp package for spatial processing, check out the deforestation tutorial.
CycQL is a Jena+ARQ based SPARQL adapter for OpenCyc 2.0. It enables one of the most powerful inference engines in the world to be used with Semantic Web tools. Cyc itself achieves scalability and optimizes inference by restricting the search space to the relevant subset of microtheories. The main features of this release are the SPARQL 1.1 syntax, the identification of named graphs with microtheories, the use of RDF (DBpedia) URLs, and special handling of Cyc Non-Atomic Terms (NATs).
DB2 Graph Store is an optimized way to store graph triples inside DB2 database. Support for the SPARQL query language
Support for popular RDF Java APIs like JENA
Support for HTTP SPARQL end-point via JOSEKI
SparQLed is an interactive SPARQL editor that provides context-aware recommendations, helping users in formulating complex SPARQL queries across multiple heterogeneous data sources.
J. Frey, и S. Hellmann. 13th International Conference on Semantic Systems Proceedings (SEMANTiCS 2017) - Posters & Demonstrations Track, (сентября 2017)
N. Ikonomov, B. Simeonov, J. Parvanova, и V. Alexiev. Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP 2013), Veliko Tarnovo, Bulgaria, (сентября 2013)
J. Frey, и S. Hellmann. 13th International Conference on Semantic Systems Proceedings (SEMANTiCS 2017) - Posters & Demonstrations Track, (сентября 2017)