Open Source Mac Semantic Web Software
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Semantic Web Software for Mac
View 16539 business solutionsBrowse free open source Semantic Web software and projects for Mac 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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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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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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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This project is no longer actively maintained.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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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. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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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
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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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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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mYLastRSS
PHP class to parse and merge several feeds
PHP class to parse several feeds at same time and give ordered result. Support RSS 0.9x/1.0/2.0, RDF, and Atom. Support some namespaced modules like Media RSS, iTunes, Dublin Core, and more... Include class to make RSS rewriting or filtering. -
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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. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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*** IMPORTANT NOTICE *** The source code of the earliest version of the EARMARK Data Structure is now available at http://www.github.com/essepuntato/EarmarkDataStructure Even if the SourceForge repository is still active, it concerns old versions of the API and it is not maintained anymore. *** SERVICE DESCRIPTION *** Extremely Annotational RDF Markup (EARMARK) is an ontological approach to the specification of markup structures on text content. It allows not only documents with single hierarchies (as with XML) but also multiple overlapping hierarchies.
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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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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 Common Lisp Reasoner extends the Common Lisp Object System (CLOS) to incorporate a powerful rule language suitable for all kinds of reasoning tasks, vanilla XML and RDF/XML interfaces, and support for a variety of AI-related applications, such as scheduling, planning and diagnosis.
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Conversor de ficheros en un formato de etiquetado origen a un formato de etiquetado destino: el parser que permite convertir ficheros de un formato a otro, está herramienta fue creada por la necesidad de convertir formatos en fichero RDF:DC a formato OWL para poder ser utilizado en Protègè. Posee un sistema de configuración de etiquetas origen y etiquetas destino, siendo posible la conversión de múltiples formatos diferentes. El programa está realizado en lenguaje JAVA.
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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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DynamiCoS is a framework to support user-centric service composition. It uses semantic web techniques to describe and discover services, which then are used in compositions that aim at satisfying user objectives. The current version is still an alpha version. Further developments are to be released soon.
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A lightweight IDE for Artificial Intelligence. Started as GUI for the Euler reasoning engine. The sources can be N3, RDF, OWL, UML, eCore, plain XML or XSD, files or URL's. Wraps Drools (or CWM, FuXi) as N3 rules engines. Model based app. generation.
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Microsoft .NET connector for the Fedora Commons repository system. Developed by Jeroen Suijkerbuijk, commissioned and sponsored by Maastricht University Library.
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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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The proposed Geospatial Meta-ontology is useful for conceptualizing and modeling the geospatial object characteristics in the context of software engineering. This ontology establishes the fundamental modeling concepts to be used in the target ontology.
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Glue 2 is a Semantic Web Service discovery engine fully compatible with the WSMO meta-model and the WSML language that aims at solving polarization problems by using mediators.
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