Time-Aware Knowledge Graphs for Decision Making in the Building Industry

Publikation aus Digital
Connected Computing

Herwig Zeiner, Wolfgang Weiss, Roland Unterberger, Dietmar Maurer, Robert Jöbstl

Lecture Notes in Business Information Processing, vol 348. Springer, Cham, 4/2019


The phenomenal progress in the development of the Internet of Things (IoT) has already had tremendous impact on almost all industrial sectors and, finally, on our everyday life. The ongoing total digital transformation leads to entirely new time-aware services and creates new and more pro-active business opportunities.


Knowledge graphs are becoming more and more popular in different domains, and also for the integration of sensor networks. In this project we make knowledge graphs time-aware through a set of general temporal properties relevant for the integration of sensing networks. Time-aware knowledge graphs enable us to do time series analysis, find temporal dependencies between events, and implement time-aware applications. The requirements for the temporal properties derive from a use case of residential real estate, with the aim to enable the occupants to interact with their houses.

Keywords: Building industry, Time-aware analytics, Knowledge graph, Decision making