Reboting Open Data

An interface that allows geo-queries for Austrian federal states and automatically generates visualization of respective open datasets. The geo-labelling of the dataset is based on a base knowledge graph of geo-entities.

Governmental Open Data portals such as the Austrian release local, regional and national data to a variety of users. The data is collected as part of census collections, infrastructure assessments or any other, secondary output data; for instance, public transport data of cities, demographic indicators, etc. Making this data accessible, searchable and analyzable to the public is vital to foster an open government. However, geospatial information in Open Data – as it is currently published – mainly still comes in semi-structured and tabular formats, such as CSV or XLS and geo-references in these tabular sources are not encoded structuredly or homogeneously, but using mixes of region names, country codes, or other implicit references. Therefore, these portals do not allow any geo-semantic queries; in fact, the search functionalities are limited to the metadata descriptions only, and hardly provide any visualizations to explore the datasets. Herein, we present a framework to automatically generated visualizations of open datasets based on queries for geo-entities:

  1. We integrate Linked Data repositories, geo-reference datasets, and geocode standards in a hierarchical base geo-entities knowledge graph.

  2. Using this knowledge graph, we label metadata and data of the Austrian data portals and index all labelled datasets. We provide an API to search over geo-entities, but also full-text search over the content.

  3. The user interface at offers showcase queries for Austrian geoentities and displays automatically generated visualizations for any input dataset from the data portals.


Erich Heil
Erich Heil

Building data products.