Abstract Building Information Models (BIMs) and City Information Models (CIMs) have
flourished in building and urban studies independently over the past decade. Semantic …

Smart city data come from heterogeneous sources including various types of the Internet of
Things such as traffic, weather, pollution, noise, and portable devices. They are …

Successful urban renewal requires a multifaceted strategic approach incorporating both
local and regional regulations, developed through multi-sector and multi-agency …

With the success of Open Data a huge amount of tabular data sources became available
that could potentially be mapped and linked into the Web of (Linked) Data. Most existing …

The current cities' urban challenges go through digitalization and integration of new
technologies under the perspective of actual and future ecological, as well as socio …

Cities are increasingly becoming augmented with sensors through public, private, and
academic sector initiatives. Most of the time, these sensors are deployed with a primary …

The design of solutions that are able to exploit the available data collected in smart cities
environments can lead to insights that can guide the implementation of approaches that …

Sustainable open data management systems are key elements to overcome long-term
publishing and consumption challenges on open data platforms. However, most existing …

A city is a complex system and involves many stakeholders with different interests and
information about the physical city objects. Information integration from distributed sources is …

Access to high quality and recent data is crucial both for decision makers in cities as well as
for the public. Likewise, infrastructure providers could offer more tailored solutions to cities …