Research
Projects
Ongoing
FAIR-AI: Fostering Austria’s Innovative strength and Research excellence in Artificial Intelligence
The FAIR-AI project aims to address gaps in dealing with societal risks in AI applications, focusing on the challenges posed by the upcoming European AI law.
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Memorise: Virtualisation and Multimodal Exploration of Heritage on Nazi Persecution
In the MEMORISE research project, a mobile application is being developed for the Bergen-Belsen and Westerbork memorials. The content is based on a data set of diary entries of the former camp prisoners.
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CHAMPI4.0NS: Intelligent and Sovereign Use of Data using the Example of Timber Industry
The overall objective of champI4.0ns is the (further) development of methods and tools that allows an intelligent and sovereign use of data in production and the clarification of the potentials of cross-company data use in production with the help of demonstrators.
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UNDERPIN: Pan-European data space for holistic asset management in critical manufacturing industries
UNDERPIN addresses the vision of European Digital Single Market with the idea of a European-wide Data Space for Manufacturing for dynamic asset management and predictive/prescriptive maintenance.
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Nature First: Forensic Intelligence and Remote Sensing Technologies for Nature Conservation
By fusing theoretic foundations from the fields of ecology and environmental forensics with empirical environmental observations (satellite-based & on-site), we hope to develop predictive, proactive, and preventative capabilities for those involved in nature conservation.
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DataBri-X: Data Process & Technological Bricks for expanding digital value creation in European Data Spaces
The emergent European Data Economy relies on the availability of data as a basis for further innovation and exponential development of technologies, especially the development of trustworthy “made in Europe” Artificial Intelligence (AI) that reflects European values.
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GeoCROW: GeoSemantic and Crowdsourced enhanced Virtual Reality for Situational Awareness
GeoCrow project aims to help military forces by conducting disaster relief and emergency operations by providing relevant information about future operational areas through semantically enriched, categorised data, and their visualisation in a virtual reality environment.
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2023
PORQUE: Polylingual Hybrid Question Answering
PORQUE will develop and evaluate an extensible platform for polylingual question answering by relying on knowledge graphs and text. We will deliver a prototype, which will be evaluated through commercial solutions in three domains (open data, publishing, energy).
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RAIDAR: Rapid Artificial Intelligence based Detection of Aggressive or Radical Content on the Web
The RAIDAR project researches methods and approaches for the quantitative collection and assessment of content that threatens democracy, hate on the net, and radicalisation.
Visit Project Website2022
TRUSTS: Trusted Secure Data Sharing Space
The Horizon 2020 project TRUSTS – Trusted Secure Data Sharing Space aims to develop a data sharing platform for secure, trustworthy, and GDPR-compliant data exchanges.
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OBARIS: Ontology-Based Artificial Intelligence in Environmental Sector
The FFG-funded OBARIS project aims to advance the status quo in the area of auditable semantic artificial intelligence systems (SAISs), by investigating both conceptual aspects of these systems as well as a technology stack that facilitates transposing these system types into concrete settings.
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WATEREYE: O&M tools integrating accurate structural health in offshore energy
WATEREYE’s integral solution will allow Wind Farm Operators to accurately predict the need for future operation & maintenance to reduce operation & maintenance costs and to increase the offshore wind annual energy production thanks to accurate structural health monitoring and control of the offshore Wind Farms.
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ELE: European Language Equality
The European Language Equality project developed a strategic research, innovation, and implementation agenda as well as a roadmap for achieving full digital language equality in Europe by 2030.
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The Prêt-à-LLOD Project: Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors
In this project we aim to increase the uptake of language technologies by exploiting the combination of linked data and language technologies, that is Linguistic Linked Open Data (LLOD), to create ready-to-use multilingual data.
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SSHOC: Social Sciences & Humanities Open Cloud
SSHOC will transform the current social sciences & humanities data landscape with its disciplinary silos and separate facilities into an integrated, cloud-based network of interconnected data infrastructures.
Visit Project Website2021
LOGISTAR: Enhanced Data Management Techniques for Logistics Planning and Scheduling in Real Time
LOGISTAR is aimed at allowing effective planning and optimizing of transport operations in the supply chain by taking advantage of horizontal collaboration relying on the increasingly real-time data gathered from the interconnected environment.
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LYNX: Legal Knowledge Graph for Smart Compliance Services
The main objective of Lynx is to create an ecosystem of smart cloud services to better manage compliance, based on a legal knowledge graph (LKG) which integrates and links heterogeneous compliance data sources including legislation, case law, standards and other private contracts.
Visit Project Website2020
CitySPIN: Cyber-Physical Social Systems to Support City-wide Infrastructures
CitySPIN aims to lay foundations for effective cyber-physical social systems engineering by investigating feasible system architectures, developing design approaches and architectural patterns, and integrating suitable tools into a technology stack and prototyping environment.
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DMA: Data Market Austria
The Data Market Austria project pioneered a data services ecosystem in Austria by creating a significantly improved technology base for secure data markets and cloud interoperability and establishing a data innovation environment.
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SYMBIOPTIMA: Human-mimetic approach to the integrated monitoring, management and optimization of a symbiotic cluster of smart production units
SYMBIOPTIMA will improve European process industry efficiency levels by developing a cross-sectorial energy & resource management platform, enabling the integration of different thermal energy sources, flows and sinks, as well as monitoring and elaboration of all relevant information flows of the symbiotic cluster.
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PROFIT: Promoting Financial Awareness and Stability
The european project consortium develops a financial awareness platform that will be publicly available. The smart application shall improve the financial literacy of various user groups ranging from teenagers, mid-career professionals to retirees.
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DALICC: Data Licenses Clearance Centre
Data Licenses Clearance Center is a tool that supports legal experts, innovation managers, and application developers in the legally secure re-utilization of multiple data sources. The DALICC framework supports the automated clearance of rights, thus helping to detect licensing conflicts and significantly reducing the costs of rights clearance in the creation of derivative works.
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ADEQUATe Open Data: Analytics & Data Enrichment to improve the QUAliTy of Open Data
The ADEQUATe project will identify the requirements for the quality of open data management in Austria and evaluate the needed mechanisms to monitor, evaluate and solve these identified data quality issues on open data portals and beyond.
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ALIGNED quality-centric, software and data engineering
The aim of this project is to develop an aligned methodology for parallel software and data engineering of web-scale information systems. Linked Data is used as a unifying technical foundation for system specification, process, and tool integration.
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BigDataEurope: Integrating Big Data, Software & Communities for Addressing Europe’s Societal Challenges
Big Data Europe will undertake the foundational work for enabling European companies to build innovative multilingual products and services based on semantically interoperable, large-scale, multi-lingual data assets and knowledge, available under a variety of licenses and business models.
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SemaGrow: Data intensive techniques to boost the real-time performance of global agricultural data infrastructures
SemaGrow aims at developing scalable and robust query decomposition, source selection, and distributed querying methods that are evaluated on real, complex, interconnected datasets comprising data and document collections, sensor data, and GIS data.
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NoLDE: Network of Linked Data Excellence
This project aims at establishing new methods of enterprise data management for publishing houses, more specifically, to commercially tap existing Linked Data technologies, improve production workflow and expand the existing range of services.
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LOD2: Creating Knowledge out of Interlinked Data
The focus of this project is the adoption of Linked Data technologies in an enterprise context by developing new methods and technologies, and make their complementary software solutions available as an integrated technology stack.
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EAR-LD: Enriching Augmented Reality with Linked Data
The project EAR-LD – Enriching Augmented Reality with Linked Data – combines the two technology concepts Augmented Reality (AR) and Semantic Web with the aim of significantly reducing the technical and financial costs of data integration and increasing the information and experience quality of AR applications.
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