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Digital Science Expands Enterprise Knowledge Graph Capabilities with Ontopic Acquisition to Enhance Customer Journey

March 25, 2026
in Technology and Engineering
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Digital Science, a renowned leader in research technology innovation, has made a significant strategic move by acquiring Ontopic, a trailblazer in Virtual Knowledge Graph (VKG) technology. This acquisition marks a pivotal advancement in Digital Science’s mission to revolutionize data integration and semantic discovery within the research ecosystem. Ontopic, headquartered in Bolzano, Italy, originated as a spin-off from the Free University of Bozen-Bolzano, carrying forward a legacy deeply rooted in cutting-edge academic research. Their expertise centers around Ontop, an open-source framework that stands at the forefront of Virtual Knowledge Graphs and Ontology-Based Data Access (OBDA), technologies essential for unlocking the potential of distributed, heterogeneous data sources.

The essence of Ontopic’s innovation lies in its ability to virtualize data across disparate silos, enabling seamless integration without the traditional need for costly and time-consuming data duplication and transformation. The Ontopic Studio, their flagship product, facilitates the mapping of complex data models into unified ontologies, offering a robust semantic layer that empowers enterprises to gain holistic insights and execute agile data queries. This paradigm shift in data handling is especially relevant in the era of big data and AI, where understanding context, ensuring data trustworthiness, and enabling real-time reasoning are paramount for actionable intelligence.

By integrating Ontopic’s virtualization prowess with Digital Science’s metaphactory platform, the acquisition signals the creation of a next-generation semantic environment. Metaphactory is recognized for its low-code, semantic modeling capabilities that streamline knowledge graph construction and management. The synthesis of Ontopic’s data virtualization with metaphactory’s semantic discovery tools forms a comprehensive, end-to-end “Knowledge-First” pipeline. This integration eradicates traditional data bottlenecks, allowing organizations to construct knowledge graphs directly atop their existing data infrastructure, an approach that significantly expedites insights generation and drives operational efficiency.

This strategic move is further reinforced by the establishment of a Knowledge Graph Competency group within Digital Science, positioning itself as an epicenter for semantic technology excellence. Ontopic’s leadership and technical teams have been integrated into this newly formed collective, ensuring that their academic rigor and technical mastery continue to drive innovation across Digital Science’s expansive portfolio. This group will be instrumental in enhancing products such as Dimensions and Altmetric, ensuring that AI-driven knowledge management solutions remain at the cutting edge, scalable, and responsive to evolving customer demands.

Addressing the growing customer call for agility in semantic data integration, Sebastian Schmidt, Executive Vice President of Digital Science’s Enterprise segment, emphasized how Ontopic’s sophisticated approach to data virtualization and automation of mapping management represents a transformative leap forward. This synergy is key to evolving Digital Science’s Enterprise Information Architecture (EIA) offerings, enhancing the coherence, scalability, and semantic richness of their platforms. The result is a more adaptable and semantically intelligent framework capable of meeting complex enterprise data integration challenges head-on.

Peter Hopfgartner, CEO and co-founder of Ontopic, highlighted the transformative potential of this acquisition from the viewpoint of semantic technology and AI advancement. Ontopic’s virtualization technology, when combined with Metaphactory’s semantic layer, crafts a resilient semantic foundation vital for building “Trustworthy AI.” This foundation enables AI systems to reason over real-time, distributed data sources with full contextual understanding and without redundancy, ushering in a new era where organizations move beyond mere data retrieval toward creating intelligent, autonomous assets that drive informed decision-making and innovation.

The acquisition reflects broader trends in enterprise data management, where traditional Extract, Transform, Load (ETL) processes are increasingly replaced by virtualization and semantic data integration technologies. By eliminating duplication and enabling real-time federated queries, Ontopic’s solution reduces latency and storage costs while enhancing data governance. The approach serves the growing need for real-time analytical capabilities and AI applications that rely on high-fidelity, semantically rich datasets.

The university that incubated Ontopic, the Free University of Bolzano, expressed strong support for the acquisition. Rector Alex Weissensteiner underscored the alignment between Ontopic’s pioneering research focus and Digital Science’s global technology ambitions. Importantly, Ontopic will retain its headquarters in Bolzano, ensuring ongoing ties to academic research and development within the Virtual Knowledge Graph domain, which bodes well for sustained innovation and knowledge exchange between academia and industry.

Looking ahead, the fusion of Ontopic’s deep semantic technology with Digital Science’s global reach and product ecosystem promises to reshape the research and enterprise data landscape. Enterprises leveraging these integrated solutions can expect to unlock unprecedented levels of data interoperability, semantic granularity, and AI readiness. This enables more nuanced data narratives and insight generation, advancing both scientific discovery and business intelligence endeavors.

Digital Science, known for its suite of brands including Altmetric, Dimensions, Figshare, and Overleaf, strengthens its commitment to democratizing research data through this acquisition. The move underscores how semantic technology and knowledge graphs sit at the nexus of AI innovation, driving more intelligent, connected, and actionable information ecosystems. As knowledge graphs become fundamental to enterprise information architectures, the deep integration of virtualization technology provides a competitive edge in managing complexity and scale.

Ultimately, the acquisition of Ontopic by Digital Science represents a fusion of visionary semantic technology and enterprise-grade AI solutions aimed at transforming how data is accessed, understood, and utilized. This collaboration signals a strategic evolution towards more dynamic, semantic, and AI-powered knowledge infrastructures that promise to redefine data-driven research and organizational intelligence in the years to come.

Subject of Research: Virtual Knowledge Graph Technology and Semantic Data Integration
Article Title: Digital Science Acquires Ontopic to Revolutionize Semantic Knowledge Graphs and Trustworthy AI
News Publication Date: Not specified
Web References:
– https://www.digital-science.com/
– https://metaphacts.com/metaphactory
Image Credits: Digital Science

Keywords: Virtual Knowledge Graph, Ontology-Based Data Access, Data Virtualization, Semantic Layer, Knowledge Graph, Trustworthy AI, Semantic Modeling, Data Integration, Enterprise Information Architecture, AI Solutions, Ontop Framework, Knowledge Democratization

Tags: AI-driven semantic discoverybig data contextual understandingdata integration without duplicationDigital Science enterprise knowledge graphdistributed data virtualization solutionsontology mapping for enterprisesOntology-Based Data Access OBDAOntopic Studio semantic layerOntopic Virtual Knowledge Graph technologyreal-time data reasoning enterpriseresearch technology innovation 2024semantic data integration in research
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