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Sextant: Visualizing Time-Evolving Linked Geospatial Data

29 Pages Posted: 9 Jul 2018 First Look: Accepted

See all articles by Charalampos Nikolaou

Charalampos Nikolaou

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications

Kallirroi Dogani

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications

Konstantina Bereta

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications

George Garbis

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications

Manos Karpathiotakis

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications

Kostis Kyzirakos

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications

Manolis Koubarakis

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications

Abstract

The linked open data cloud is constantly evolving as datasets get continuously updated with newer versions. As a result, representing, querying, and visualizing the temporal dimension of linked data is crucial. This is especially important for geospatial datasets that form the backbone of large scale open data publication efforts in many sectors of the economy (e.g., the public sector, the Earth Observation sector). Although there has been some work on the representation and querying of linked geospatial data that change over time, to the best of our knowledge, there is currently no tool that offers spatio-temporal visualization of such data. This is in contrast with the existence of many tools for the visualization of the temporal evolution of geospatial data in the GIS area. In this article, we present Sextant, a Web-based system for the visualization and exploration of time-evolving linked geospatial data and the creation, sharing, and collaborative editing of “temporally-enriched” thematic maps which are produced by combining different sources of such data. We present the architecture of Sextant, give examples of its use and present applications in which we have deployed it.

Keywords: Linked Geospatial Data, Linked Spatiotemporal Data, Visualization, Browsing, Exploration

Suggested Citation

Nikolaou, Charalampos and Dogani, Kallirroi and Bereta, Konstantina and Garbis, George and Karpathiotakis, Manos and Kyzirakos, Kostis and Koubarakis, Manolis, Sextant: Visualizing Time-Evolving Linked Geospatial Data (December 2015). Journal of Web Semantics First Look. Available at SSRN: https://ssrn.com/abstract=3199201 or http://dx.doi.org/10.2139/ssrn.3199201

Charalampos Nikolaou (Contact Author)

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications ( email )

Panepistimiopolis
Ilisia
Athens, GR15784
Greece

Kallirroi Dogani

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications ( email )

Panepistimiopolis
Ilisia
Athens, GR15784
Greece

Konstantina Bereta

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications ( email )

Panepistimiopolis
Ilisia
Athens, GR15784
Greece

George Garbis

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications ( email )

Panepistimiopolis
Ilisia
Athens, GR15784
Greece

Manos Karpathiotakis

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications ( email )

Panepistimiopolis
Ilisia
Athens, GR15784
Greece

Kostis Kyzirakos

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications ( email )

Panepistimiopolis
Ilisia
Athens, GR15784
Greece

Manolis Koubarakis

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications ( email )

Panepistimiopolis
Ilisia
Athens, GR15784
Greece

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