Geo-Semantic Labelling of Open Data

Neumaier, Sebastian and Savenkov, Vadim and Polleres, Axel ORCID: (2018) Geo-Semantic Labelling of Open Data. In: Proceedings of the 14th International Conference on Semantic Systems (SEMANTiCS). Vol.137, Elsevier, Vienna, Austria. pp. 9-20. ISBN 1877-0509

Available under License Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).

Download (19MB)


In the past years Open Data has become a trend among governments to increase transparency and public engagement by opening up national, regional, and local datasets. However, while many of these datasets come in semi-structured file formats, they use different schemata and lack geo-references or semantically meaningful links and descriptions of the corresponding geo-entities. We aim to address this by detecting and establishing links to geo-entities in the datasets found in Open Data catalogs and their respective metadata descriptions and link them to a knowledge graph of geo-entities. This knowledge graph does not yet readily exist, though, or at least, not a single one: so, we integrate and interlink several datasets to construct our (extensible) base geo-entities knowledge graph: (i) the openly available geospatial data repository GeoNames, (ii) the map service OpenStreetMap, (iii) country-specific sets of postal codes, and (iv) the European Union¿s classification system NUTS. As a second step, this base knowledge graph is used to add semantic labels to the open datasets, i.e., we heuristically disambiguate the geo-entities in CSV columns using the context of the labels and the hierarchical graph structure of our base knowledge graph. Finally, in order to interact with and retrieve the content, we index the datasets and provide a demo user interface. Currently we indexed resources from four Open Data portals, and allow search queries for geo-entities as well as full-text matches at

Item Type: Book Section
Additional Information: This work was funded by the Austrian Federal Ministry of Transport, Innovation and Technology (BMVIT) through the program "ICT of the Future" by the Austrian Research Promotion Agency (FFG) under the project CommuniData. Axel Pollere' work was supported under the Distinguished Visiting Austrian Chair Professors program hosted by "The Europe Center of Stanford University".
Keywords: open data; spatio-temporal labelling; spatio-temporal knowledge graph
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft > Polleres
Version of the Document: Published
Depositing User: Gertraud Novotny
Date Deposited: 08 Nov 2018 14:24
Last Modified: 04 Dec 2019 10:41
Related URLs:


View Item View Item


Downloads per month over past year

View more statistics