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Leveraging Knowledge Graphs & Semantic Knowledge Modeling at Scania and TRATON
In this guest blog post, Tanuja Gupta, explains how knowledge graphs have helped Scania—a...
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Knowledge Democratization with an Enterprise Knowledge Graph at Boehringer Ingelheim
Boehringer Ingelheim uses metaphactory to empower domain experts and deliver a seamless experience...
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What is a knowledge graph
Discover what a knowledge graph is, how it works and how it can sort and streamline information,...
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metaphacts named one of KMWorld’s Top 100 companies that matter in knowledge management in 2025
We’re thrilled to be once again included in KMWorld’s list of Top 100...
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metaphactory transforms your data into consumable, contextual & actionable knowledge and drives continuous decision intelligence
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DIESEL, a project run by metaphacts in collaboration with Zazuko and AKSW, aims at leveraging the advantages of Linked Data technologies to design and deliver a scalable semantic search engine for large enterprises.
The system will help enterprises connect, understand and find the information they need within a short time, by integrating and querying disparate data sources as a service. Using rich interfaces, the system will capture end-user information needs and allow users to extend their results with similar concepts. The results of these global searches will be displayed as comprehensive, targeted answers.
The aim of the research project is to reduce the time needed for global searches in the enterprise and enhance efficiency, reduce costs and improve the decision making process by reducing information noise and overload.
Diesel: Distributed search in large enterprise data
Project Funding
This project was funded by the German Federal Ministry of Education and Research (BMBF ») and the Eurostars EU project.
Project Runtime
September 2015 – August 2018
Project Partners
