Martin Kaltenböck

Biography

Martin Kaltenböck studied communication science, psychology and marketing at the University of Vienna. He is co-founder and managing partner of the Semantic Web Company and as CFO responsible for financial, legal and organisational issues. Furthermore he leads and works in several national and international research, industry and government projects – mainly in the areas of project management, requirements engineering and communication & community activities.

He is tutor and publishes in the fields of semantic data-, information & knowledge management, Linked (Open) Data and Knowledge Graphs. He is lecturer at national and international conferences and business events in the mentioned topics.

Martin is Certified Management Consultant since 2006, Member of the Advisory Council of the Open Knowledge (Foundation, UK) and invited expert of the governmental Cooperation OGD Austria. He is working as an invited expert of W3C and is a member of the Steering Board of the European Data Forum (EDF/ now: EBDVF) that he chaired in Athens in 2014. Furthermore Martin is Member of the permanent advisory board of SEMANTiCS (https://www.semantics.cc) conference series.

Talks and Events

How Knowledge Graphs foster interoperability in Data Spaces

This presentation shows the approach of making use of Knowledge Graphs in Data Spaces and Data Markets to foster data- and semantic interoperability. Interoperability is the enabler of efficient and sustainable data sharing between organisations, either in a certain industry or across industries, either in the form of data trading or as data collaborations. This talk will explain the basic principles of Data Spaces, draw the problem statement of interoperability for value-added data sharing, and present the solution approach – including real world examples – of using Knowledge Graphs to foster Interoperability in Data Spaces.

Track: Ontologies, Taxonomies and Data Modeling

Session Topics:

• Data Management
• Data Governance
• Data Modeling
• Ontologies
• Taxonomies
• Semantic Layer
• Data Discoverability
• Data Spaces
• Data Sharing
• Knowledge Graphs
• Interoperability