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      Zifo Transforms Ontology Engineering with AI-Powered Intelligent Automation

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      News provided by

      Zifo Technologies

      30 Apr, 2026, 15:00 GMT

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      Advanced AI solution speeds up ontology creation by 80%, generating structured, interoperable knowledge models for science-driven organizations.

      CAMBRIDGE, Mass. and CAMBRIDGE, England, April 30, 2026 /PRNewswire/ -- Zifo, the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations, has developed an Intelligent Automation solution for Ontology Engineering, which is designed to seamlessly generate structured, interoperable knowledge models while accelerating ontology creation by 80%.

      Overcoming the Bottlenecks of Manual Ontology Creation

      Manual ontology creation in the biopharma industry has traditionally been a time-consuming process that requires specialized expertise. Organizations frequently struggle with semantic ambiguity, complex integration challenges, and limited scalability, resulting in workflows that can take weeks to complete. Zifo's AI-powered automation tackles these challenges head-on by eliminating 80% of the manual work through automated class generation, description creation, and precise IRI mapping.

      Addressing the Complexities of Semantic Knowledge

      Developing comprehensive knowledge models often demands deep domain expertise to define relationships and align terminology. Zifo's intelligent solution overcomes this by providing an AI-guided workflow featuring an intuitive interface, meaning specialized ontology engineering knowledge is no longer required. By leveraging LLM-powered generation, the solution creates precise definitions with a deep understanding of domain-specific context, while generating standardized synonyms and establishing controlled vocabulary alignment to eliminate inconsistent terminology.

      A Solution Designed for Scalable Scientific Data Modeling

      The AI-powered solution addresses critical format compatibility and integration points in ontology management:

      • Seamless Integration: Automated mapping connects directly to established ontologies, including NCIT, CHEBI, OBI, and EFO, via BioPortal and OLS APIs.
      • Massive Scalability: Parallel processing and batch operations empower teams to execute large-scale ontology projects without performance limitations.
      • Automated Hierarchies: The AI autonomously generates semantic relationships and parent-child hierarchies based on domain context and predefined relation vocabularies.
      • Format Compatibility: The solution produces direct OWL/RDF exports with proper URIs, ensuring seamless downstream integration.

      Unique Features include:

      • Multi-Source Integration: The solution combines BioPortal, OLS, and EMBL-EBI APIs to guarantee comprehensive ontology coverage.
      • Intelligent Ranking System: The system uses AI-powered relevance scoring and justification for precise ontology mappings.
      • Precise IRI Mapping: It ensures that each generated class is linked to the correct IRI, directly promoting semantic web compatibility.
      • Human-in-the-Loop Design: The solution automates repetitive tasks while maintaining vital expert oversight.
      • End-to-End Workflow: Users are guided through a complete pipeline, from initial domain knowledge input straight to exportable OWL files.
      • Visual Knowledge Graph: An interactive graph visualization allows for intuitive relationship exploration and validation.
      • Multi-Format Exports: Provides seamless export options in CSV, OWL, or HTML Ontograph formats for downstream use, collaboration, and visualization.

      Strategic Value Across the Scientific Chain

      This solution breaks down the traditional barriers of data structuring. Built on a robust backend of Python, LangChain, and leading LLM models, alongside a frontend framework using Next.js 15 and Cytoscape.js for graph visualization, the solution is highly adaptable. Furthermore, future optimization enhancements will include provisions for uploading user-defined classes or semi-ready ontologies.

      About Zifo

      Zifo is the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations. With expertise spanning research, development, manufacturing, and clinical domains, Zifo serves a diverse range of industries including Pharma, Biotech, Chemicals, Food and Beverage, and more. Trusted by over 190 organizations worldwide, Zifo is the partner of choice for advancing digital scientific innovation.

      For more information, visit www.zifornd.com; https://zifornd.com/practical-ai-blueprints/

      Logo: https://mma.prnewswire.com/media/2731415/Zifo_Technologies_Logo.jpg

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