Transparent federation with FedX - Solving challenges with new optimization techniques

Reading time: approx. 10 - 12 minutes

Federation with FedX

Discover how transparent federation in metaphactory enables a unified view across distributed knowledge graphs, addressing challenges like data silos and compliance. Principal Engineer Andreas Schwarte discusses its evolution, optimization and real-world applications.

 

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Efficient and high-performance operation of semantic models in Enterprise Information Architecture

Reading time: approx. 5 minutes

high efficiency of semantic models in EIA

In this guest post, Michael Schäfer, IT architect and Division Lead Multicloud & Modern Work at Netlution dives into how semantic knowledge models enable efficient data collection, organization, and utilization to drive business success, as well as important considerations when assessing the IT operating model for an EIA solution.

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BIBFRAME dilemmas for libraries: Challenges and opportunities

Reading time: approx. 6 minutes

BIBFRAME workshop 2024

In this article, Richard Wallis, a distinguished Linked Data and Semantic Web expert and thought leader, shares insights from the recent BIBFRAME Workshop in Europe where he presented a novel knowledge graph-powered solution created for a major national library. He also explores the common challenges that libraries currently face and the opportunities that technologies like linked data and knowledge graphs can offer for managing and connecting massive data volumes, as well as improving the experience for library users.

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Federation in metaphactory

Reading time: 6 - 12 minutes

Federation in metaphactory

With metaphactory, we serve customers of various sizes and across multiple industries, but no matter whether we're talking about a clinical trial scoping or a bill of materials use case, customers are looking for solutions to address hybrid information needs. That means that end users usually have questions or information needs that are not limited to one single data source or just RDF graph data, but involve simultaneously dealing with a multitude of data sources, a multitude of data modalities and a multitude of data processing techniques.

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