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ZENODO
Dataset . 2023
License: CC BY NC SA
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY NC SA
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY NC SA
Data sources: Datacite
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SURE-KG dataset

Research datakeyboard_double_arrow_right Dataset 02 May 2023Publisher:Zenodo
Authors: CADOREL, Lucie; GANDON, Fabien; TETTAMANZI, Andrea G. B.;

doi: 10.5281/zenodo.7885757 , 10.5281/zenodo.7885756

SURE-KG dataset

Abstract

The SURE-KG RDF dataset provides a knowledge graph built from a real dataset to represent Real Estate and Uncertain Spatial Data from Advertisements. It relies on natural language processing and machine learning methods for information extraction, and semantic Web frameworks for representation and integration. It describes more than 100K real estate ads and 6K place-names extracted from French Real Estate advertisements from various online advertiser and located in the French Riviera. It can be exploited by real estate search engines, real estate professionals, or geographers willing to analyze local place-names Homepage: https://github.com/Wimmics/sure

Related Organizations
Keywords

Knowledge Graph, Vague Places, Spatial Data, Real Estate, Linked Open Data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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