Open Source Mac Semantic Web Software
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Semantic Web Software for Mac
View 15610 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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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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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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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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JS SmartM3 KP API
javascript API for SmartM3
Porting of the SmartM3 Triple Space's KP on JavaScript. Due to limitations on JS connectivity a "WebSocket to TCP" relay has been developed in order to enable JavaScript KP to communicato with a SmartM3 SIB. Relay is based on jWebSocketServer. User manual currently only in italian :( -
Easily Host LLMs and Web Apps on Cloud RunRun frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure. Cloud Run gives you on-demand GPU access for hosting LLMs and running real-time AI—with 5-second cold starts and automatic scale-to-zero so you only pay for actual usage. New customers get $300 in free credit to start.
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A set of java api to manipulate a vcard file represented in RDF/XML according to W3C specification (http://www.w3.org/TR/vcard-rdf).
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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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e-NVISION, STREP project of the 6th FP (http://www.e-nvision.org/). This site contains the open-source software developed in the project. Keywords: e-Business, ontologies, platform, semantic web services, BPEL processes.
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Go From Idea to Deployed AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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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
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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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The aim of ALIVE is to develop new approaches to the engineering of flexible, adaptable distributed service-oriented systems based on the adaptation of social coordination and organisation mechanisms.
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JSNAV - a library that allows to specify and save some javascript calls in the page's URI. This library helps to standardize the coding javascript URI handler in the anchors. Also it helps to keep the classic navigation anchors.
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Java OWL Reader
Java library which offers information contained in an OWL resource
A Java library which reads an OWL resource, e.g. an OWL file, and offers methods to get the contained information. For that is has methods to get all OWL classes together with their subclasses and their data types (i.e. their data properties), all relations of these OWL classes (i.e. all object properties), all OWL individuals together with their classes and their data values (i.e. their positive data property assertions) and all relations of these OWL individuals (i.e. all their positive object property assertions).
