| planetdata |
Description |
The PlanetData Network of Excellence aims to establish an interdisciplinary, sustainable
European community of researchers, helping organizations to expose their data on the
Web in a useful way, by conducting interdisciplinary research on
� the Web‐friendly representation, robust integration, and scalable transmission,
processing, and management of stream‐like data, such as sensors, news stories,
and microblog entries;
� the assessment and improvement of the quality of large open data sets of various
modalities, and the augmentation of these data sets with self‐descriptive metadata
giving an account of quality and contextual aspects; and
� the accountable usage of Web‐based data sets taking into consideration provenance,
privacy, trust, and access rights.
KMI has a sub-project in PlanetData, called ParkMe: Linked Open Parking Data, which
works on a mobile and Web application that combines geographic data and parking space
information with user location, social networks and other data sources in order to
let its users conveniently find parking and related value-add services when coming
to work or driving into town. |
| planetdata |
Description |
The PlanetData Network of Excellence aims to establish an interdisciplinary, sustainable
European community of researchers, helping organizations to expose their data on the
Web in a useful way, by conducting interdisciplinary research on
— the Web‐friendly representation, robust integration, and scalable transmission,
processing, and management of stream‐like data, such as sensors, news stories,
and microblog entries;
— the assessment and improvement of the quality of large open data sets of various
modalities, and the augmentation of these data sets with self‐descriptive
metadata giving an account of quality and contextual aspects; and
— the accountable usage of Web‐based data sets taking into consideration
provenance, privacy, trust, and access rights.
KMI has a sub-project in PlanetData, called ParkMe: Linked Open Parking Data, which
works on a mobile and Web application that combines geographic data and parking space
information with user location, social networks and other data sources in order to
let its users conveniently find parking and related value-add services when coming
to work or driving into town. |
