Developer(s) | HP Labs (until October 2009), then Apache Software Foundation |
---|---|
Stable release | |
Repository | Jena Repository |
Written in | Java |
Type | Semantic Web |
License | Apache License 2.0 |
Website | jena |
Apache Jena is an open source Semantic Web framework for Java. It provides an API to extract data from and write to RDF graphs. The graphs are represented as an abstract "model". A model can be sourced with data from files, databases, URLs or a combination of these. A model can also be queried through SPARQL 1.1.
Jena is similar to RDF4J (formerly OpenRDF Sesame); though, unlike RDF4J, Jena provides support for OWL (Web Ontology Language). The framework has various internal reasoners and the Pellet reasoner (an open source Java OWL-DL reasoner) can be set up to work in Jena.
Jena supports serialisation of RDF graphs to:
Jena was integrated as a project under the umbrella of The Apache Software Foundation in April 2012, after having been in the Apache Incubator since November 2010. [2] [3]
Release Name | Date |
---|---|
Apache Jena 4.5.0 | 2022-05-01 |
Apache Jena 4.4.0 | 2022-01-13 |
Apache Jena 4.3.2 | 2021-12-17 |
Apache Jena 4.3.1 | 2021-12-10 |
Apache Jena 4.3.0 | 2021-12-05 |
Apache Jena 4.2.0 | 2021-09-12 |
Apache Jena 4.1.0 | 2021-05-31 |
Apache Jena 4.0.0 | 2021-03-27 |
Apache Jena 3.17.0 | 2020-11-25 |
Apache Jena 3.16.0 | 2020-07-09 |
Apache Jena 3.15.0 | 2020-05-15 |
Apache Jena 3.14.0 | 2020-01-16 |
Apache Jena 3.13.1 | 2019-10-06 |
Apache Jena 3.13.0 | 2019-09-25 |
Apache Jena 3.12.0 | 2019-05-27 |
Apache Jena 3.11.0 | 2019-04-24 |
Apache Jena 3.10.0 | 2018-12-30 |
Apache Jena 3.9.0 | 2018-10-08 |
Apache Jena 3.8.0 | 2018-07-02 |
Apache Jena 3.7.0 | 2018-02-14 |
Apache Jena 3.6.0 | 2017-12-17 |
Apache Jena 3.5.0 | 2017-11-02 |
Apache Jena 3.4.0 | 2017-07-21 |
Apache Jena 3.3.0 | 2017-05-21 |
Apache Jena 3.2.0 | 2017-02-10 |
Apache Jena 3.1.0 | 2016-05-14 |
Apache Jena 3.0.0 | 2015-07-29 |
Apache Jena 2.13.0 | 2015-03-13 |
Apache Jena 2.12.0 | 2014-08-07 |
Apache Jena 2.11.0 | 2013-09-18 |
Apache Jena 2.10.0 | 2013-02-25 |
Apache Jena 2.7.0 | 2011-12-23 |
Jena was created by HP Labs and was on SourceForge since 2001, and was donated to The Apache Software Foundation in November 2010. [4]
Release Name | Date |
---|---|
Jena 2.6.0 | 2009-05-18 |
Jena 2.1 | 2004-02-10 |
Jena 2.0 | 2003-08-28 |
Jena 1.1.0 | 2001-07-06 |
Jena 1.0 | 2000-08-28 |
Fuseki is an HTTP interface to RDF data. It supports SPARQL for querying and updating. The project is a sub-project of Jena and is developed as servlet. Fuseki can also be run stand-alone server as it ships preconfigured with the Jetty web server.
The Semantic Web, sometimes known as Web 3.0, is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). The goal of the Semantic Web is to make Internet data machine-readable.
The Resource Description Framework (RDF) is a World Wide Web Consortium (W3C) standard originally designed as a data model for metadata. It has come to be used as a general method for description and exchange of graph data. RDF provides a variety of syntax notations and data serialization formats, with Turtle currently being the most widely used notation.
RDF Schema (Resource Description Framework Schema, variously abbreviated as RDFS, RDF(S), RDF-S, or RDF/S) is a set of classes with certain properties using the RDF extensible knowledge representation data model, providing basic elements for the description of ontologies. It uses various forms of RDF vocabularies, intended to structure RDF resources. RDF and RDFS can be saved in a triplestore, then one can extract some knowledge from them using a query language, like SPARQL.
SPARQL is an RDF query language—that is, a semantic query language for databases—able to retrieve and manipulate data stored in Resource Description Framework (RDF) format. It was made a standard by the RDF Data Access Working Group (DAWG) of the World Wide Web Consortium, and is recognized as one of the key technologies of the semantic web. On 15 January 2008, SPARQL 1.0 was acknowledged by W3C as an official recommendation, and SPARQL 1.1 in March, 2013.
A semantic wiki is a wiki that has an underlying model of the knowledge described in its pages. Regular, or syntactic, wikis have structured text and untyped hyperlinks. Semantic wikis, on the other hand, provide the ability to capture or identify information about the data within pages, and the relationships between pages, in ways that can be queried or exported like a database through semantic queries.
Oracle Spatial and Graph, formerly Oracle Spatial, is a free option component of the Oracle Database. The spatial features in Oracle Spatial and Graph aid users in managing geographic and location-data in a native type within an Oracle database, potentially supporting a wide range of applications — from automated mapping, facilities management, and geographic information systems (AM/FM/GIS), to wireless location services and location-enabled e-business. The graph features in Oracle Spatial and Graph include Oracle Network Data Model (NDM) graphs used in traditional network applications in major transportation, telcos, utilities and energy organizations and RDF semantic graphs used in social networks and social interactions and in linking disparate data sets to address requirements from the research, health sciences, finance, media and intelligence communities.
In computing, Terse RDF Triple Language (Turtle) is a syntax and file format for expressing data in the Resource Description Framework (RDF) data model. Turtle syntax is similar to that of SPARQL, an RDF query language. It is a common data format for storing RDF data, along with N-Triples, JSON-LD and RDF/XML.
An RDF query language is a computer language, specifically a query language for databases, able to retrieve and manipulate data stored in Resource Description Framework (RDF) format.
Ontotext is a software company with offices in Europe and USA. It is the semantic technology branch of Sirma Group. Its main domain of activity is the development of software based on the Semantic Web languages and standards, in particular RDF, OWL and SPARQL. Ontotext is best known for the Ontotext GraphDB semantic graph database engine. Another major business line is the development of enterprise knowledge management and analytics systems that involve big knowledge graphs. Those systems are developed on top of the Ontotext Platform that builds on top of GraphDB capabilities for text mining using big knowledge graphs.
Eclipse RDF4J is an open-source framework for storing, querying, and analysing RDF data. It was created by the Dutch software company Aduna as part of "On-To-Knowledge", a semantic web project that ran from 1999 to 2002. It contains implementations of an in-memory triplestore and an on-disk triplestore, along with two separate Servlet packages that can be used to manage and provide access to these triplestores, on a permanent server. The RDF4J Rio package contains a simple API for Java-based RDF parsers and writers. Parsers and writers for popular RDF serialisations are distributed along with RDF4J, and users can easily extend the list by putting their parsers and writers on the Java classpath when running their application.
A semantic reasoner, reasoning engine, rules engine, or simply a reasoner, is a piece of software able to infer logical consequences from a set of asserted facts or axioms. The notion of a semantic reasoner generalizes that of an inference engine, by providing a richer set of mechanisms to work with. The inference rules are commonly specified by means of an ontology language, and often a description logic language. Many reasoners use first-order predicate logic to perform reasoning; inference commonly proceeds by forward chaining and backward chaining. There are also examples of probabilistic reasoners, including non-axiomatic reasoning systems, and probabilistic logic networks.
Mulgara is a triplestore and fork of the original Kowari project. It is open-source, scalable, and transaction-safe. Mulgara instances can be queried via the iTQL query language and the SPARQL query language.
A triplestore or RDF store is a purpose-built database for the storage and retrieval of triples through semantic queries. A triple is a data entity composed of subject–predicate–object, like "Bob is 35" or "Bob knows Fred".
The Semantic Web Stack, also known as Semantic Web Cake or Semantic Web Layer Cake, illustrates the architecture of the Semantic Web.
MarkLogic Server is a document-oriented database developed by MarkLogic. It is a NoSQL multi-model database that evolved from an XML database to natively store JSON documents and RDF triples, the data model for semantics. MarkLogic is designed to be a data hub for operational and analytical data.
AllegroGraph is a closed source triplestore which is designed to store RDF triples, a standard format for Linked Data. It also operates as a document store designed for storing, retrieving and managing document-oriented information, in JSON-LD format. AllegroGraph is currently in use in commercial projects and a US Department of Defense project. It is also the storage component for the TwitLogic project that is bringing the Semantic Web to Twitter data.
GeoSPARQL is a standard for representation and querying of geospatial linked data for the Semantic Web from the Open Geospatial Consortium (OGC). The definition of a small ontology based on well-understood OGC standards is intended to provide a standardized exchange basis for geospatial RDF data which can support both qualitative and quantitative spatial reasoning and querying with the SPARQL database query language.
Shapes Constraint Language (SHACL) is a World Wide Web Consortium (W3C) standard language for describing Resource Description Framework (RDF) graphs. SHACL has been designed to enhance the semantic and technical interoperability layers of ontologies expressed as RDF graphs.
Ontotext GraphDB is a graph database and knowledge discovery tool compliant with RDF and SPARQL and available as a high-availability cluster. Ontotext GraphDB is used in various European research projects.
Apache Jena provides a complete framework for building Semantic Web and Linked Data applications in Java, and provides: parsers for RDF/XML, Turtle and N-triples; a Java programming API; a complete implementation of the SPARQL query language; a rule-based inference engine for RDFS and OWL entailments; TDB (a non-SQL persistent triple store); SDB (a persistent triples store built on a relational store) and Fuseki, an RDF server using web protocols. Jena complies with all relevant recommendations for RDF and related technologies from the W3C.
The open source project was originally created as part of a research activity in HPLabs. In building new systems, the researchers identified the value of a common platform that dealt with the low level details of the standards.
ARQ is a query engine for Jena that supports the SPARQL RDF Query language.