Search Results for "sparql"

This driver provides read-only JDBC connectivity for the Amazon Neptune service using SQL, Gremlin, openCypher and SPARQL queries. The driver comes packed in a single jar file. To use the driver, place the jar file in the classpath of the application which is going to use it. For the initial public preview release, the driver will be available for download on GitHub along with the driver's .jar file and .taco file. To use the Driver in BI tools, please refer to the documentation. To connect...

A SPARQL client for Amazon Neptune that includes AWS Signature Version 4 signing. Implemented as an RDF4J repository. SPARQL client for Amazon Neptune that includes AWS Signature Version 4 signing. Implemented as an RDF4J repository and Jena HTTP Client.

Blazegraph has moved to Github. Please see https://github.com/blazegraph/database/.

SPARQL Query Benchmarker is a simple to use tool (and API) for running any benchmark/testing you want to create against any HTTP accessible SPARQL system.

Jena is Java toolkit for developing semantic web applications based on W3C recommendations for RDF and OWL. It provides an RDF API; ARP, an RDF parser; SPARQL, the W3C RDF query language; an OWL API; and rule-based inference for RDFS and OWL. Jena is now an Apache project: http://jena.apache.org/

This project is no longer actively maintained. It is succeeded by the Eclipse RDF4J project, which can be found at GitHub and at http://www.rdf4j.org/. Sesame is a de-facto standard framework for processing RDF data. This includes parsing, scalable storage, reasoning and full SPARQL 1.1 query/update support. Sesame offers a fully modular toolkit and an easy-to-use Java API that can be connected to all leading RDF storage solutions.

CliqueSquare is a system for storing and querying large RDF graphs relying on Hadoop’s distributed file system (HDFS) and Hadoop’s MapReduce open-source implementation. It provides a novel partitioning and storage scheme that permits 1-level joins to be evaluated locally using efficient map-only joins. In addition, CliqueSquare is equipped with a unique optimization algorithm based on graphs and cliques capable of generating highly parallelizable flat query plans relying on n-ary equality joins.

One of the requirements of current Semantic Web applications is to deal with heterogenous data. Data represented and stored using the Extensible Markup Language (XML) is almost ubiquitous and is the standard for data exchange. Resource Description Framework (RDF) is the W3C recommended standard for data representation. Being able to work with these two languages using a common framework is a great advantage and eliminates several unnecessary steps that are currently used when handling both formats.

The Bio2RDF project aims to transforms silos of life science data into a globally distributed network of linked data for biological knowledge discovery. Bio2RDF creates and provides machine understandable descriptions of biological entities using the RDF/RDFS/OWL Semantic Web languages. Using both syntactic and semantic data integration techniques, Bio2RDF seamlessly integrates diverse biological data and enables powerful new SPARQL-based services across its globally distributed knowledge bases.

SPARQL, a declarative query language for querying RDF-graphs, supports retrieval of data exclusively based on facts; in contrast Recommender Systems aim to predict the taste of a user towards a set of not consumed items. However, predictions or suggestions are entities that cannot be explicitly retrieved. ReSPARQL is an extension of SPARQL that fills the gap between this two paradigms and enables a generic and flexible approach for recommendations over arbitrary RDF-graphs. It supports content...

... by a set of configurable SPARQL querys. The output of the system are the original transcriptions enriched with the new LOD information and stored using the new VTT HTML5 format.

..., consistency checking and query answering in the form of SPARQL entailment regimes. Internally, Swertia does not provide any reasoning capabilities itself but provides all necessary means to enable the use of existing reasoners to perform reasoning in the supported Semantic Web standards. The majority of FOL reasoners is supported, as well as Semantic Web reasoners for the building hybrid reasoning systems.

RDF P (P stands for project or plugin or PIXEL) provides Eclipse plugins for working with RDF data: editors, views, builders, wizards etc. RDF P is based on OpenRDF/Sesame and bundles OWLIM Lite. Currently follwing features are included: * Turtle editor with syntax highlighting * Outline page displaying the RDF contents as table * Graph view displaying RDF as interactive graph * Builder to assemble RDF files into a local repository * SPARQL editor which access the local repository...

SemaRule Navigator is an Integrated Suite of Open-Source and Free-License Software, placing Semantic and Text Analysis Technologies in the toolbox of Researchers, Students, and Enterprises.

Spreadsheet-to-RDF wrapper capable of transforming spreadsheets to arbitrary RDF graphs; supports mapping language with powerful formula expressions as you know from Excel, local/remote Excel/ODF/CSV, SPARQL service - source available at https://github.com/theandyl/xlwrap

it enable any domain's expert to create/modify an ontology for this domain. This application provides a lot of features such as creating or editing ontology, running query on ontology using SPARQL, visualization ... etc.

The BSBM (Berlin SPARQL Benchmark) suite for benchmarking RDF stores or RDB-2-RDF wrappers over the SPARQL protocol. Pure RDBMS benchmarking via SQL is also possible. Visit http://www4.wiwiss.fu-berlin.de/bizer/BerlinSPARQLBenchmark for more details.

A project designed to create a standard mapping of RDF to Java.

SPARQL to Object Oriented eNgine allows users to expose their traditional data sources (RDBMS, OODBMS, XML, LDAP, ecc) as RDF data, through a SPARQL endpoint.

SAIM allows to interlink knowledge bases in the Semantic Web. It focuses on instance matching of very large knowledge bases available as SPARQL endpoints. SAIM uses machine learning techniques and is compatible with SILK.

The D2RQ API provides access to relational database content from within the Jena and Sesame RDF frameworks. D2R Server is a Semantic Web server and SPARQL endpoint based on D2RQ. Both use a declarative language for mapping database schemata to RDF.

Semantic Spaces offers a virtualization layer on top of RDF repositories and SPARQL endpoints. Its entry point is an RDF2Go model that wraps the underlying data providers in a unifying and spaces-based framework for large-scale data management.

*** PROJECT NOT MAINTAINED ANYMORE *** RDFStats generates statistics for RDF datasets behind SPARQL-endpoints and within single RDF documents.

The Semantic Web implementation using native xml database as backend storage. A SPARQL java compiler to XQuery using Jena. There are XQuery scripts for native xml database Sedna(http://modis.ispras.ru/sedna/).