Producing and updating geospatial data is expensive and resource intensive.
Hence, it becomes crucial to be able to integrate, repurpose and extract added
value from geospatial data to support decision making and management of lo-cal, national and global resources. Spatial Data Infrastructures (SDIs) and the
standardisation eorts from the Open Geospatial Consortium (OGC) serve this
goal, enabling geospatial data sharing, integration and reuse among Geographic
Information Systems (GIS). Geospatial data are now, more than ever, truly
syntactically interoperable. However, they remain largely isolated in the GIS
realm and thus absent from the Web of Data. Linked data technologies en-abling semantic interoperability, interlinking, querying, reasoning, aggregation,
fusion, and visualisation of geospatial data are only slowly emerging. The vision
of GeoKnow is to leverage geospatial data as rst-class citizens in the Web of
Data, in proportion to their signicance for the data economy.
%0 Conference Paper
%1 garciarojas2013geoknow
%A Garcia-Rojas, Alejandra
%A Athanasiou, Spiros
%A Lehmann, Jens
%A Hladky, Daniel
%B Open Data on the Web Workshop
%D 2013
%E on the Web Workshop, Open Data
%K geoknow topic_geospatial topic_linkeddata
%T GeoKnow: Leveraging Geospatial Data in the Web of Data
%U http://www.w3.org/2013/04/odw/odw13_submission_15.pdf
%X Producing and updating geospatial data is expensive and resource intensive.
Hence, it becomes crucial to be able to integrate, repurpose and extract added
value from geospatial data to support decision making and management of lo-cal, national and global resources. Spatial Data Infrastructures (SDIs) and the
standardisation eorts from the Open Geospatial Consortium (OGC) serve this
goal, enabling geospatial data sharing, integration and reuse among Geographic
Information Systems (GIS). Geospatial data are now, more than ever, truly
syntactically interoperable. However, they remain largely isolated in the GIS
realm and thus absent from the Web of Data. Linked data technologies en-abling semantic interoperability, interlinking, querying, reasoning, aggregation,
fusion, and visualisation of geospatial data are only slowly emerging. The vision
of GeoKnow is to leverage geospatial data as rst-class citizens in the Web of
Data, in proportion to their signicance for the data economy.
@inproceedings{garciarojas2013geoknow,
abstract = {Producing and updating geospatial data is expensive and resource intensive.
Hence, it becomes crucial to be able to integrate, repurpose and extract added
value from geospatial data to support decision making and management of lo-cal, national and global resources. Spatial Data Infrastructures (SDIs) and the
standardisation eorts from the Open Geospatial Consortium (OGC) serve this
goal, enabling geospatial data sharing, integration and reuse among Geographic
Information Systems (GIS). Geospatial data are now, more than ever, truly
syntactically interoperable. However, they remain largely isolated in the GIS
realm and thus absent from the Web of Data. Linked data technologies en-abling semantic interoperability, interlinking, querying, reasoning, aggregation,
fusion, and visualisation of geospatial data are only slowly emerging. The vision
of GeoKnow is to leverage geospatial data as rst-class citizens in the Web of
Data, in proportion to their signicance for the data economy.},
added-at = {2013-04-29T10:18:23.000+0200},
author = {Garcia-Rojas, Alejandra and Athanasiou, Spiros and Lehmann, Jens and Hladky, Daniel},
biburl = {https://www.bibsonomy.org/bibtex/202b18e75b707e50c1e49898df323de54/alegrm},
booktitle = {Open Data on the Web Workshop},
editor = {on the Web Workshop, Open Data},
interhash = {89dc42e49189ad3b0c0b524ffb1d97e0},
intrahash = {02b18e75b707e50c1e49898df323de54},
keywords = {geoknow topic_geospatial topic_linkeddata},
month = {April},
timestamp = {2016-06-17T17:01:42.000+0200},
title = {GeoKnow: Leveraging Geospatial Data in the Web of Data},
url = {http://www.w3.org/2013/04/odw/odw13_submission_15.pdf},
year = 2013
}