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Linked Data - A Paradigm Shift for Geographic Information Science · Study

WorkLinked Data - A Paradigm Shift for Geographic Information Science

W. Kühn2014

Work2014

Linked Data - A Paradigm Shift for Geographic Information Science

W. Kühn · Tomi Kauppinen · Krzysztof Janowicz

69 citations·0/0 files stored·Lecture notes in computer science

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Geographic Information Systems Studies Semantic Web and Ontologies 3D Modeling in Geospatial Applications

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 69 citations exist upstream.

References

2010Open Government: Collaboration, Transparency, and Participation in Practice 1998Overcoming the semantic and other barriers to GIS interoperability

Cited by

2016A Survey of Measures and Methods for Matching Geospatial Vector Datasets 2015Linked Data and SDI: The case on Web geoprocessing workflows 2022Symbolic and subsymbolic GeoAI : Geospatial knowledge graphs and spatially explicit machine learning 2021Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime Transportation 2017Geospatial Semantics 2017Citizen Science and Crowdsourcing for Earth Observations: An Analysis of Stakeholder Opinions on the Present and Future 2018Advancing interoperability of geospatial data provenance on the web: Gap analysis and strategies 2019Geospatial Information Infrastructures

Details

Year2014

Typeother

Published2014-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations69

Files0 public / 0

ShelfGeographic Information Systems Studies

Identifiers

doi10.1007/978-3-319-11593-1_12

openalex_workW191211481

Links

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