LinkedGeoData: A core for a web of spatial open data

By Claus Stadler, Jens Lehmann, Konrad Höffner, Sören Auer. Semantic Web, 2012

412 citations recorded by the source corpus.

The Semantic Web eases data and information integration tasks by providing an infrastructure based on RDF and ontologies. In this paper, we contribute to the development of a spatial Data Web by elaborating on how the collaboratively collected OpenStreetMap data can be interactively transformed and represented adhering to the RDF data model. This transformation will simplify information integration and aggregation tasks that require comprehensive background knowledge related to spatial features such as ways, structures, and landscapes. We describe how this data is interlinked with other spatial data sets, how it can be made accessible for machines according to the Linked Data paradigm and for humans by means of several applications, including a faceted geo-browser. The spatial data, vocabularies, interlinks and some of the applications are openly available in the LinkedGeoData project.

Subfields: Artificial Intelligence, Geography, Planning and Development, Signal Processing

View Paper: https://www.semanticscholar.org/paper/b79afc88fdcd437d11eda9aa09d4d77c376d3f01

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Sören Auer
2. Jens Lehmann
3. Heiko Paulheim
4. Christian Bizer
5. Sebastian Hellmann
6. Amrapali Zaveri
7. Jianzhong Qi
8. Bayu Distiawan Trisedya

In Geography, Planning and Development

1. Jens Lehmann
2. Sören Auer

In Signal Processing

1. Christian Bizer
2. Jens Lehmann
3. Sören Auer
4. Jianzhong Qi
5. Tom Heath

Citations in the corpus

• Knowledge Graphs (2020, neutral): “, LinkedGeoData [496]); life sciences, relating to proteins, genes, drugs, diseases, etc.”
• Entity Alignment between Knowledge Graphs Using Attribute Embeddings (2019, background): “For example, DBpedia, YAGO, LinkedGeoData, and Geonames contain 47 .”
• Test-driven evaluation of linked data quality (2014, methodology): “• linkedgeodata.org provides a linked data mirror of OpenStreetMap 15 using the following schemas: ngeo , spatial , lgdo , dcterms , gsp , owl , geo , skos and foaf [25].”
• DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia (2015, methodology): “Two examples are Wiktionary with the Wiktionary extraction [18] meanwhile becoming part of DBpedia and LinkedGeoData [38], which aims to implement similar data extraction, publishing and linking strategies for OpenStreetMaps.”