Showing 6 open source projects for "ontologies"

View related business solutions
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
    Start Free
  • Ship Agents Faster Icon
    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini 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.
    Start Free
  • 1
    API Platform Core

    API Platform Core

    The server component of API Platform, hypermedia and GraphQL APIs

    API Platform Core is an easy-to-use and powerful system to create hypermedia-driven REST and GraphQL APIs. It is a component of the API Platform framework and it can be integrated with the Symfony framework using the bundle distributed with the library. It natively supports popular open formats including JSON for Linked Data (JSON-LD), Hydra Core Vocabulary, OpenAPI v2 (formerly Swagger) and v3, HAL and Problem Details. Build a working and fully-featured CRUD API in minutes. Leverage the...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    TemaTres: controlled vocabulary server

    TemaTres: controlled vocabulary server

    Manage, Publish and Share Ontologies, Taxonomies, Thesauri, Glossaries

    Web application for management formal representations of knowledge, thesauri, taxonomies and multilingual vocabularies / Aplicación para la gestión de representaciones formales del conocimiento, tesauros, taxonomías, vocabularios multilingües. For the latest version of code: https://github.com/tematres/TemaTres-Vocabulary-Server
    Leader badge
    Downloads: 8 This Week
    Last Update:
    See Project
  • 3

    SW-DLP: Developing ontoLogy by Profiling

    a tool for easing the ontologies editing and evolution (Semantic Web)

    The DLP tool was ideated and developed by: Dr. Luca Mazzola, MsC. Patrick Kapahnke, and PD Dr. Matthias Klusch at the German Research Center for Artificial Intelligence DFKI GmbH (http://www.dfki.de ) in Saarbrücken, Germany. Copyright: DFKI, 2017, licence GLP see https://www.gnu.org/licenses/gpl-3.0.en.html 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
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    DL-Learner
    DL-Learner is a tool for learning concepts in Description Logics (DLs) from user-provided examples. Equivalently, it can be used to learn classes in OWL ontologies from selected objects. As of August 2014, the source code management of DL-Learner has moved to Github: https://github.com/AKSW/DL-Learner Please use this for the latest code and issue tracking and the website (http://dl-learner.org) for general information.
    Downloads: 1 This Week
    Last Update:
    See Project
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • 5
    The SMW OntologyEditor is an extension of SemanticMediaWiki and has been developed as part of the ACTIVE project (http://www.active-project.eu/) in order to enable the development of lightweight ontologies and to provide knowledge repair algorithms.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Up to now, most ontologies are created manually, which is very time-expensive. The goal is it, to produce ontologies automatically via XSLT, which fit as good as possible to a given XML-file resp. XML-Schema-file.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next