Automatic Integration of Spatial Data into the Semantic Web

@inproceedings{Prudhomme2017AutomaticIO,
  title={Automatic Integration of Spatial Data into the Semantic Web},
  author={Claire Prudhomme and Timo Homburg and Jean-Jacques Ponciano and Frank Boochs and Ana Roxin and Christophe Cruz},
  booktitle={WEBIST},
  year={2017}
}
For several years, many researchers tried to semantically integrate geospatial datasets into the semantic web. [] Key Method We therefore developed an automatic process of semantification for aforementioned data using among others the geometry of spatial objects. We combine Natural Language processing with geographic and semantic tools in order to extract semantic information of spatial data into a local ontology linked to existing semantic web resources.

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References

SHOWING 1-10 OF 17 REFERENCES
Semi-automatically Mapping Structured Sources into the Semantic Web
TLDR
This paper presents a semi-automatic approach to map structured sources to ontologies in order to build semantic descriptions (source models) and provides a graphical user interface that allows a user to interactively refine the models.
Interpreting Heterogeneous Geospatial Data Using Semantic Web Technologies
TLDR
The paper illustrates the work that firstly follows existing Semantic Web standards when dealing with vector geodata and secondly extends current standards when deals with raster geodATA and more advanced geospatial operations.
Enabling Linked Data Publication with the Datalift Platform
TLDR
Datalift, a framework and a platform helping to lift raw data sources to semantic interlinked data sources, is presented.
Silk - A Link Discovery Framework for the Web of Data
TLDR
The Silk - Link Discovery Framework is presented, a tool for finding relationships between entities within different data sources and features a declarative language for specifying which types of RDF links should be discovered between data sources as well as which conditions entities must fulfill in order to be interlinked.
DBpedia: A Nucleus for a Web of Open Data
TLDR
The extraction of the DBpedia datasets is described, and how the resulting information is published on the Web for human-andmachine-consumption and how DBpedia could serve as a nucleus for an emerging Web of open data.
LogMap: Logic-Based and Scalable Ontology Matching
TLDR
This paper presents LogMap--a highly scalable ontology matching system with 'built-in' reasoning and diagnosis capabilities, and is the only matching system that can deal with semantically rich ontologies containing tens (and even hundreds of thousands of classes).
Ontology of units of measure and related concepts
TLDR
The Ontology of units of Measure and related concepts OM, an OWL ontology of the domain of quantities and units of measure supports making quantitative research data more explicit, so that the data can be integrated, verified and reproduced.
A survey of current Link Discovery frameworks
TLDR
This survey comparatively evaluates current Link Discovery tools and frameworks and derives a generic architecture of Link Discovery frameworks that study and compare the features of state-ofthe-art linking frameworks.
The GeoTiff data interchange standard for raster geographic images
Abstract The GeoTIFF interchange standard is an extension of the popular TIFF format, to support a geodetically sound raster data georeferencing capability. The geographic content supported in the
BabelNet: Building a Very Large Multilingual Semantic Network
TLDR
A very large, wide-coverage multilingual semantic network that integrates lexicographic and encyclopedic knowledge from WordNet and Wikipedia and Machine Translation is also applied to enrich the resource with lexical information for all languages.
...
...