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.

DALICC - Data Licenses Clearance Center (DALICC)


The creation of derivative data works, i.e. for purposes like content creation, service delivery or process automation, is often accompanied by legal uncertainty about usage rights and high costs in the clearance of licensing issues. The DALICC project aims to develop a software framework that supports the automated clearance of rights issues in the creation of derivative data works. In essence, DALICC helps to determine which information can be shared with whom to what extent under which conditions, thus lowering the costs of rights clearance and stimulating the data economy.



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.

ENTROPY - Design of an innovativE eNergy-aware it ecosysTem for motivating behaviouRal changes towards the adOption of energy efficient lifestYles (ENTROPY)


Taking into account the fact that buildings constitute the largest end-use energy consuming sector, the design and development of solutions targeted at reducing their energy consumption based on the adoption of energy efficient techniques and the active engagement of citizens/occupants is considered crucial. Innovative solutions have to be implemented upon properly understanding the main energy consuming factors and trends, as well as properly modeling and understanding the citizens’ behaviour and the potential for lifestyle changes.

The ENTROPY project addresses this challenge by building upon the integration of technologies that facilitate the deployment of innovative energy aware IT ecosystems for motivating end-users’ behavioural changes and namely: (1) the Internet of Things that provides the capacity for interconnecting numerous devices and applying energy-efficient communication protocols, (2) the evolution of advanced Data Modelling and Analysis techniques that support the realization of semantic models and knowledge extraction mechanisms and (3) the Recommendation and Gamification eras that can trigger interaction with relevant users in social networks, increase end users’ awareness with regards to ways to achieve energy consumption savings in their daily activities and adopt energy efficient lifestyles as well as provide a set of energy efficient recommendations and motives.



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.