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      • ABOUT
      • PLATFORM
      • TOOLS
      • USE CASES

    • Sign in
    • Contact Us
    Semantic Intelligent Platform

    Where
    Knowledge
    Meets
    Intelligence

    Semantic AI Platform (SAIP, platform) is an integrated ICT system incorporating artificial intelligence technologies and enabling multi-stakeholder interaction for the creation and exchange of structured information (formalized knowledge), semantic assets, and linked data sets

    Explore the Platform
    Semantic
    Core
    Knowledge Graphs
    Linked Open Data
    Interoperability
    Responsible AI
    Semantic KMS
    SA Catalog
    AI Experts

    15+ Years of R&D

    FAIR & Trust

    Open Data Standards

    About the platform

    Suite of Semantic and 

    AI Services

    SAIP is designed for knowledge management, semantic modeling, cataloging semantic assets and linked data sets, as well as for AI-enabled user assistance through the application of artificial intelligence technologies.

    The platform is based on a combination of knowledge management technologies, Semantic Web standards and artificial intelligence. It is intended for use in corporate, scientific and government information systems with the following requirements:

    • accumulation, systematization and formalization of knowledge in the subject area
    • ensuring conisstency of terminology, classifications and indicators
    • semantic description of data and metadata
    • support for interoperability and data reuse
    • AI-enabled assistance for users and experts when working with knowledge and data
    Platform tools

    Three Core Services​ –

    One flexible platform

    Semantic KMS

    Knowledge Management and Semantic Modeling Service (SKMS) provides the accumulation and effective use of an organization's knowledge. The uniqueness of the semantic KMS is the formalization of knowledge based on semantic methods and Semantic Web technologies. The representation and dissemination of knowledge formalized in the SKMS ensures accurate understanding of meanings (explicit and implicit knowledge) by humans, as well as their appropriate interpretation by information systems. 

    SA Catalog

    Semantic Assets & Linked Data Catalog Service (SCS) supports cataloging and dissemination of reusable linked data sets and the models that describe them. The use of international standards such as ADMS and DCAT ensures the compatibility of catalogs and the implementation of the FAIR principles – (F) Findability, (A) Accessibility, (I) Interoperability, (R) Reuse. The service supports collaboration between IT specialists and domain experts in the creation and dissemination of semantic assets and the preparation of linked data sets. 

    Virtual AI Experts

    AI Assistants Service (AIAS) provides AI-powered assistance to SAIP users. Grounded in formalized knowledge from SKMS, linked data, and semantic models describing them, AIAS delivers accurate and context-aware responses within the domain environment. It also enables the integration of virtual AI assistants into SKMS, enhancing user interaction with knowledge and data.

    SAIP offers flexible service combinations tailored to your system architecture and objectives

    Use Cases

    SAIP is used in diverse environments, including the non-profit Interoperability Basis initiative and information systems in official statistics, to support knowledge management, strengthen semantic interoperability, enable AI-powered interaction with knowledge and data, while addressing technological and organizational barriers to the effective exchange and dissemination of linked data 

    More than just a tool, it is a comprehensive platform for the collaborative creation, evolution, and sharing of knowledge, where each participant contributes to a global semantic network of interoperable data, standards, and tools. The goal of the Interoperability Basis Platform is to integrate existing data exchange standards, classifications, and reference systems into the Semantic Web environment, enabling sustainable semantic interoperability across diverse users and use cases

    As part of the Interoperability Basis Platform, the Semantic Assets Catalog supports the management and reuse of semantic assets across domains and information systems. It offers a structured environment for registering, classifying, versioning, and interlinking semantic assets, including metadata schemas and data models, ontologies and vocabularies, thesauri, taxonomies, code lists, and glossaries

    Designed for official statistics, it supports the structuring and publication of institutional statistical knowledge using Semantic Web technologies. The Semantic Knowledge Management System creates a unified, machine-interpretable semantic environment for statistical knowledge by aligning methodological documents, terminology, and classifications based on expert collaboration and domain expertise

    Contact Us

    Let’s Turn Ideas into Capability

    Whether you are addressing complex knowledge management needs, exploring strategic collaboration, or seeking expertise in semantic technologies, we are ready to connect

    Submit
      YMA GROUP, innovation technologies, d.o.o.

       info@semanticip.org  

      Ljubljana, Slovenia

    Copyright   © Semantic R&D Group, 2026   © Semantic AI platform (AAS R-013/26)

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