Transportation research relies heavily on a variety of data. From sensors to surveys, data
supports day-to-day operations as well as long-term planning and decision-making. The …

Applications built on top of the Semantic Web are emerging as a novel solution in different
areas, such as decision making and route planning. However, to connect results of these …

Route planning providers manually integrate different geo-spatial datasets before offering a
Web service to developers, thus creating a closed world view. In contrast, combining open …

In the field of smart cities, researchers need an indication of how people move in and
between cities. Yet, getting statistics of travel flows within public transit systems has proven …

Public transit operators often publish their open data in a data dump, but developers with
limited computational resources may not have the means to process all this data efficiently …

Publishing transport data on the Web for consumption by others poses several challenges
for data publishers. In addition to planned schedules, access to live schedule updates (eg …

We present an ontology that describes the domain of Public Transport by bus, which is
common in cities around the world. This ontology is aligned to Transmodel, a reference …

When benchmarking rdf data management systems such as public transport route planners,
system evaluation needs to happen under various realistic circumstances, which requires a …

While some public transit data publishers only provide a data dump–which only few reusers
can afford to integrate within their applications–others provide a use case limiting origin …

When I started studying engineering, I thought data management was in a far more
advanced state. I could not imagine that still, in 2007, manual intervention was needed to …