Research is the core task of STI Innsbruck. Our motto is "Enabling Semantics". Find out more about our current research directions!


This page lists the current projects with STI Innsbruck. Please see the archive and the historical projects for more on completed projects.

(CampaNeo) Platform for Real-time Vehicle Data Campaigns


In the CampaNeo project, an open platform will be developed on which private and public institutions can create campaigns and collect and analyze vehicle data in real-time. The goal is to set up a prototype platform for secure campaign-based data collection in Hanover, Wolfsburg and in cross-regional scenarios, as well as the implementation of the first smart use cases based on the campaign data. The focus is in particular on the data ownerships of vehicle owners and the traceability of data processing. The analysis of vehicle sensor data (e.g. for the detection of driving behavior, finding of driver efficiency scores, anomaly detection, etc.) requires the creation and use of models of machine learning (ML). Among others, the CampaNeo project aims to address issues related to the efficient use of ML models, taking into account data quality and data protection aspects for real-time vehicle data. The results of the CampaNeo project include technologies and analysis techniques that are useful for many user groups such as municipalities, fleet management providers, insurance companies and service providers in the fields of data science and mobility. These results are validated together with business users in selected application scenarios and economically and scientifically exploited by the consortium and associated partners.

Digital Innovation Hub West, FFG

The aim of DIH West is to help SMEs in Western Austria to transform, digitally support their innovation potential by giving them the institutionalized access to the know-how of research institutions through various activities is possible. According to the needs of SMEs in Salzburg, Tyrol and Vorarlberg, the content of the DIH West focuses on the areas of application Industry 4.0, for manufacturing companies, and eServices, for companies from tourism, commerce and trade.
The main objective of the STI WP is to develop a semi‐automatic annotation editor to help SMEs to annotate their web content.



Der Innovationslehrgang zielt darauf ab, die digitale Kompetenz im Tourismus zu erhöhen. Zielgruppe sind IT-Verantwortliche in Tourismusunternehmen. Hierzu zählen bspw. Tour Operator, die Hotellerie, aber auch Beratungsunternehmen im Tourismus. Zudem werden auch
Tourismusverbände und Landestourismusorganisationen angesprochen, ihre IT-Verantwortlichen weiterzubilden. Die Weiterbildungsinhalte richten
sich nach aktuellen Forschungsinitiativen an den beteiligten Universitäten und Fachhochschulen und decken hierbei Themen wie Semantische Technologien im Web, Usability von Assistenzsystemen, Konsumentenverhalten im Buchungsprozess, Big Data Management oder Strategien zur Cyber-Sicherheit ab. Derzeit sind 15 Module zwischen 2-4 Lehrtagen eingeplant. Diese Lehrtage werden branchenspezifisch in Nebensaisonen und an Randzeiten der Arbeitswoche angeboten. Als LektorInnen stehen ForscherInnen aus (derzeit) acht Universitäten und Fachhochschulen zur Verfügung. Die angebotenen Inhalte werden in einigen Themenbereichen auf Einstiegs- und Aufbauniveau angeboten. Somit können sehr erfahrene MitarbeiterInnen, wenn gewünscht, direkt im Aufbauniveau einsteigen. Das Resultat wird zu einer erhöhten Professionalisierung des eTourismus in Österreich führen.



MindLab is a cooperative research project with the goal to develop methods and software tools for modeling and implementing scalability for knowledge graphs.

Feratel and Onlim provide dialogue-based access to touristic information, products, and services. But meaningful dialogues require large amounts of knowledge to be available in a machine-processable way. For this purpose, the Mindlab project develops knowledge graph technologies. In MindLab, we will develop methods and tools that allow information providers to construct a Knowledge Graph relevant to their content. In detail:

Semantic annotations: Methods and tools for the manual, semi-automatic and automated generation of semantic annotations and their integration into a knowledge graph.
Quality control of Knowledge Graphs: Methods and tools for semi-automated and automated quality control and improvement of knowledge graphs.
Connecting Knowledge Graphs: Methods and tools for semi-automated and automated extension of a knowledge graph with other heterogeneous and dynamic information sources and knowledge graphs.
Life cycle of knowledge graphs: Methods and tools for the manual, semi-automatic and automated generation of semantic annotations and their integration into a knowledge graph.
Mapping: Methods and tools for manual, semi-automatic and automatic mapping of unstructured data into machine processable form.

Talking Knowledge Graphs:

Presentation:Talking Knowledge Graphs, MindLab New York, 2019

Additional link:

Talk's video link:

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