Open Source Linux Semantic Web Software
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Semantic Web Software for Linux
View 8629 business solutionsBrowse free open source Semantic Web software and projects for Linux below. Use the toggles on the left to filter open source Semantic Web software by OS, license, language, programming language, and project status.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Cube
Universal semantic layer platform for AI, BI, spreadsheets
Cube is the semantic layer for building data applications. It helps data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application. Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. Cube has a built-in relational caching engine to provide sub-second latency and high concurrency for API requests. -
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Memvid
Video-based AI memory library. Store millions of text chunks in MP4
Memvid encodes text chunks as QR codes within MP4 frames to build a portable “video memory” for AI systems. This innovative approach uses standard video containers and offers millisecond-level semantic search across large corpora with dramatically less storage than vector DBs. It's self-contained—no DB needed—and supports features like PDF indexing, chat integration, and cloud dashboards. -
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Sesame
Java RDF Framework
This project is no longer actively maintained.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. -
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Smart-M3 is a functional platform that provides a cross domain search extent for triple based information. Smart-M3 enables smart cross domain applications that rely on information level interoperability.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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TRAK Metamodel
Tuples (triples) for TRAK architecture viewpoints and views
The definition of the metamodel for TRAK (defines allowed AD elements and relationships i.e. tuples/ triples for the TRAK viewpoints and views). TRAK is a general systems-thinkers'/system engineering enterprise architecture framework. It is simple, user-friendly, pragmatic and not limited to IT. 100% triple-centric and semantically-sound. Forms basis for RDF + OWL ontology description - see https://trakmetamodel.sourceforge.io/vocab/TRAK_metamodel.html. Each TRAK metamodel element now has its own web page - see https://trakmetamodel.sourceforge.io/metamodel/index.html -
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SmartSlog (Smart Space Ontology) is a software/application development kit (SDK or ADK) for programming Smart-M3 agents (Knowledge Processors, KPs) that consume/produce smart space content according with its high-level ontological representation. SmartSlog applies the code generation approach: given an OWL ontology description, the ontology programming library is produced. The latter provides API to access the smart space via a Smart-M3 Semantic Information Broker (SIB) and data structures and functions to represent and maintain locally in KP code all ontology classes, relations, properties, and individuals. Since 2012 the project is supported by grant KA179 of Karelia ENPI programme, http://kareliaenpi.eu/ More information about project: http://oss.fruct.org/wiki/SmartSlog Smart-M3 on Wikipedia: http://en.wikipedia.org/wiki/Smart-M3
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Semantic MediaWiki
Lets you store and query data within the wiki's pages.
Semantic MediaWiki is an extension to the MediaWiki software (powering Wikipedia), which extends the Wiki with ideas from the Semantic Web. We focus on usability and tight integration. See the web site for further details and GitHub at https://github.com/SemanticMediaWiki/SemanticMediaWiki/releases for the file releases! (since version 2.4.0). -
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MRCube
Meta-Model Management based on RDFs Revision Reflection
MRCube is a graphical editing tool of RDF-based contents developed for managing a relationship between RDF and RDFS contents. -
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Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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DODDLE-OWL
a Domain Ontology rapiD DeveLopment Environment – OWL extension
DODDLE-OWL is a domain ontology development tool for the Semantic Web. DODDLE-OWL makes reuse of existing ontologies and supports the semi-automatic construction of taxonomic and other relationships in domain ontologies from documents. -
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rdf2rdf
This Java tool converts RDF data from any RDF format to any other.
This Java tool converts your RDF files from any RDF format to any other format. It is based on the openRDF.org Sesame project and is wrapped into one single jar file for easy usage. -
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A set of tools (command line and GUI) to provide a complete digital photo workflow for Unixes. EXIF headers are used as the central information repository, so users may change their software at any time without loosing any data.
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The London Datastore (http://data.london.gov.uk) was created by the Greater London Authority (GLA) as an innovation towards freeing London’s data. This SourceForge Project will be used to Open Source our development efforts surrounding data formats
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MapPSO is a tool for Ontology Alignment, which uses Discrete Particle Swarm Optimisation. A particle swarm is used to search for the optimal alignment. The algorithm is massively parallel and adapts naturally on parallel architectures.
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RDBToOnto allows to automatically generate fine-tuned OWL ontologies from relational databases. A major feature of this full-fledged tool is the ability to produce structured ontologies with deeper hierarchies by exploiting both the database schema and the stored data. RDBToOnto can be exploited to produce RDF Linked Data. It can also be used to generate highly accurate RDB-to-RDF mapping rules (for D2RQ Server and Triplify).
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Network software for annotation and quality control of distributed data. Supported by NSF: DBI 0646266 and NSF: DBI 0960535. http://wiki.filteredpush.org
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OntoModel is a UML-based editor that works with OWL ontologies. The usage of the UML extension mechanism makes it possible to develope and maintain OWL ontologies with MDA technologies. Implemented as NeOn Toolkit (http://www.neon-toolkit.org) plugin.
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XML to RDF converter xml2rdf.xsl
Generic XML to RDF converter
This is a generic XML to RDF converter which uses XSLT transformations to convert any XML document into RDF format. The transformation uses an XSLT processor like xsltproc. The command line for the Bash shell is: xsltproc xml2rdf3.xsl document.xml > document.rdf Reference: Breitling, F. 2009: A standard transformation from XML to RDF via XSLT, Astronomical Notes, Vol 330 Issue 7, DOI: 10.1002/asna.200811233, http://onlinelibrary.wiley.com/doi/10.1002/asna.200811233/abstract http://adsabs.harvard.edu/abs/2009AN....330..755B https://arxiv.org/abs/0906.2291 -
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This project is a reasoner for the description logic EL+. It computes the concept subsumption hierarchy. It is an OWL 2 EL reasoner.
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wsdl2rdf
WSDL 2.0 to RDF mapping implementation library
This library facilitates a creation and management of OWL 2 ontology that describes a web service as defined in WSDL Version 2.0: RDF Mapping W3C specification. While the specification is based OWL 1.1 version, the library uses "The OWL API" which is OWL 2 based. -
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Buscador semántico y ontológico: está compuesto de distintas partes programas en diferentes lenguajes: a. Ficheros PHP b. Ficheros en JavaScript (AJAX) c. Hojas de estilo CSS d. Necesidad de instalación de servidor APACHE y TomCat para su correcto funcionamiento. e. Descripción breve del funcionamiento: Mediante los ficheros PHP, con formularios que recogen la información a través variables POST y GET actúa en conjunto con los ficheros en JavaScript (AJAX) y envían la petición al servidor en SOLR.
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The CDM-Core ontology (CREMA Data Model - core module) is a manufacturing ontology, specialised in the two application sub-domains of 1) exhaust car manufacturing and 2) metallic press maintenance The CDM-Core ontology was developed by: Dr. Luca Mazzola, Msc. Patrick Kapahnke, Marko Vujic, and PD Dr. Matthias Klusch at the German Research Center for Artificial Intelligence DFKI GmbH (http://www.dfki.de ) in Saarbrücken, Germany. Copyright: DFKI, 2016, licence CC BY-SA see http://creativecommons.org/licenses/by-sa/3.0/ For bug reports, technical problems and feature requests please contact: Luca Mazzola: luca.mazzola@dfki.de or mazzola.luca@gmail.com Patrick Kapahnke: patrick.kapahnke@dfki.de
