Research Is At The Heart Of Innovation

eccenca originated from the world-class research group of DBpedia and still maintains close ties to researchers and research groups world-wide. On this page, you find some of the research projects eccenca is participating or has been driving over the past.

BRAINE stands for Big data pRocessing and Artificial Intelligence at the Network Edge. The project’s overall aim is to boost the development of the edge framework. It focusses on energy efficient hardware and AI empowered software, capable of processing Big Data at the edge, but also supporting security, data privacy, and sovereignty.

eccenca supports the BRAINE project in building the data management foundation for reliable AI functions in edge devices and software systems. Its enterprise knowledge graph software Corporate Memory will function as the main authoring tool and editor in order to create, modify, manage and validate edge computing workflow descriptions. It will also enable the project to link and integrate disparate data sources as well as ensure the correct semantics and traceability of data that becomes input for future AI functions.

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April 2020 - March 2023 |  Funded under the EU Horizon 2020 framework | Number of stakeholders: 27

MINDSET’s overall goal is the development of an interdisciplinary approach, from both a professional and technical perspective, for the real-time, automated processing of (streaming) data for information retrieval using machine learning methods. From this data, companies can extract decision-relevant information, integrate it efficiently into business processes and thereby achieve far-reaching competitive advantages in existing market segments or offer new services.

This project specifically addresses intelligent digital life cycle files for wind turbines to demonstrate the potentials of such life cycle reports for an efficient wind turbine operation. To achieve this, different learning methods will be applied to time series of wind turbines and combined with other methods for creating the digital life cycle report. eccenca contributes extensive experience in the design of integrated platforms and a component for the lifting of structured data sources via semi-automatically created lifting rules using a machine learning process. In addition, eccenca contributes its expertise in GDPR management for tagging the annotation component.

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June 2018 - February 2021 | Funded by Sächsische Aufbaubank (SAB) | Grant reference number: 100341559

The EU-funded iDev40 – Integrated Development 4.0 project leads the digital transformation of singular processes towards an integrated digital supply chain based on the “digital twin” concept. Development, planning and manufacturing will benefit from the “digital twin” concept in terms of highly digitized virtual processes along the whole product lifecycle. Within this project, eccenca’s role is to provide software and methodology for semantic data representation, integration and synchronization. Furthermore, eccenca will enhance the SCORVoc vocabulary and utilize these building blocks in a jointly developed use case with Infineon on lead-time based dynamic pricing.

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June 2018 - April 2021

Goal of the LIMBO project is the development of the next-generation Linked Data Space for Mobility Data. This data space provides additional services for data consumers and producers and will connect the complete data domain of the BMVI (Bundesministerium für Verkehr und digitale Infrastruktur). eccenca is the coordinator of this nine-partner-project and provides the LIMBO data lifting portal.

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June 2017 - August 2020

Despite significant advances in both hardware, software technology as well as user interaction design, smart textiles have not taken off yet beyond prototype stage. In order to reduce entry barriers especially for small and medium enterprises, the GeniusTex project will create cooperation and collaboration opportunities to develop smart textile products, services and business models. In this project, eccenca provides its experience in ontology development and semantic data integration. eccenca is responsible for the quality and development of all ontological artefacts as well as its exploitation by integrating sensor, process and product data into an executable knowledge graph which is used inside of the GeniusTex portal.

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April 2018 - March 2020

Logo of the bIoTope research project.

The Internet of Things (IoT) brings opportunities to create new services and products, reducing costs for societies, and changing how services are sold and consumed. A critical obstacle to further IoT innovation are the vertical silos that shape today’s IoT landscape. These silos impede the creation of cross-industry, cross-platform and cross-organisational services due to their lack of interoperability and openness. The bIoTope project lays the foundation for creating open innovation ecosystems by providing a platform that enables companies to easily create new IoT systems and to rapidly harness available information using advanced Systems-of-Systems (SoS) capabilities for connected smart objects – with minimal investment.

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January 2016 - December 2018

The project aims to develop, establish and successfully market a new generation of semantic, networked data applications based on the Linked Data paradigm. For this purpose, a regional technology platform will be realized that encompasses both competences, methods and concrete technology modules. The alliance thereby directly links to developments in Web 3.0 and in the area of eGovernment to Agenda 2020.

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July 2015 - June 2018

New mobility concepts and better data networking are both crucial factors for global economic development. To invent innovative and sustainable mobility concepts, new data-based value-added services are required. MobiVoc develops an open vocabulary for future-oriented mobility solutions.

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On-going cross-research activity