research-article

Real-time wildfire monitoring using scientific database and linked data technologies

Authors:

Manolis Koubarakis,

Charalambos Kontoes,

Stefan ManegoldAuthors Info & Claims

EDBT '13: Proceedings of the 16th International Conference on Extending Database Technology

Pages 649 - 660

https://doi.org/10.1145/2452376.2452452

Published: 18 March 2013 Publication History

Abstract

We present a real-time wildfire monitoring service that exploits satellite images and linked geospatial data to detect hotspots and monitor the evolution of fire fronts. The service makes heavy use of scientific database technologies (array databases, SciQL, data vaults) and linked data technologies (ontologies, linked geospatial data, stSPARQL) and is implemented on top of MonetDB and Strabon. The service is now operational at the National Observatory of Athens and has been used during the previous summer by emergency managers monitoring wildfires in Greece.

References

[1]

T. Barclay, J. Gray, S. Ekblad, E. Strand, and J. Richter. Designing and building terraservice. IEEE Internet Computing, 10(5):16--25, 2006.

Digital Library

[2]

P. Baumann. A database array algebra for spatio-temporal data and beyond. In Next Generation Information Technologies and Systems, pages 76--93, 1999.

Digital Library

[3]

P. Baumann, A. Dehmel, P. Furtado, R. Ritsch, and N. Widmann. The Multidimensional Database System RasDaMan. In SIGMOD, pages 575--577, 1998.

Digital Library

[4]

C. Carlino, S. D. Elia, A. D. Vecchia, M. Iacovella, M. Iapaolo, C. M. Scalzo, and F. Verdino. On sharing Earth Observation concepts via ontology. In ESA-EUSC, 2008.

[5]

EUMETSAT. Active Fire Monitoring with MSG Algorithm - Theoretical Basis Document. Technical report, EUM/MET/REP/07/0170, 2007.

[6]

J. Gray and A. S. Szalay. Where the rubber meets the sky: Bridging the gap between databases and science. IEEE Data Eng. Bull., 27(4):3--11, 2004.

[7]

M. Ivanova, M. L. Kersten, and S. Manegold. Data Vaults: a Symbiosis between Database Technology and Scientic File Repositories. In SSDBM, pages 485--494, 2012.

Digital Library

[8]

C. Kontoes, I. Papoutsis, D. Michail, T. Herekakis, M. Koubarakis, K. Kyzirakos, M. Karpathiotakis, C. Nikolaou, M. Sioutis, G. Garbis, S. Vassos, I. Keramitsoglou, M. Kersten, S. Manegold, and H. Pirk. Wildfire monitoring via the integration of remote sensing with innovative information technologies. In G. R. Abstracts, editor, EGU2012-PREVIEW, 2012.

[9]

M. Koubarakis, M. Karpathiotakis, K. Kyzirakos, C. Nikolaou, and M. Sioutis. Data Models and Query Languages for Linked Geospatial Data. In T. Eiter and T. Krennwallner, editors, Reasoning Web. Semantic Technologies for Advanced Query Answering, volume 7487 of Lecture Notes in Computer Science, pages 290--328. Springer Berlin/Heidelberg, 2012.

[10]

M. Koubarakis, M. Karpathiotakis, K. Kyzirakos, C. Nikolaou, S. Vassos, G. Garbis, M. Sioutis, K. Bereta, S. Manegold, M. L. Kersten, M. Ivanova, H. Pirk, Y. Zhang, C. Kontoes, I. Papoutsis, T. Herekakis, D. Michail, M. Datcu, G. Schwarz, O. Dumitru, D. Espinoza-Molina, K. Molch, U. D. Giammatteo, M. Sagona, S. Perelli, E. Klien, T. Reitz, and R. Gregor. Building virtual earth observatories using ontologies and linked geospatial data. In RR, pages 229--233, 2012.

Digital Library

[11]

M. Koubarakis, K. Kyzirakos, M. Karpathiotakis, C. Nikolaou, S. Vassos, G. Garbis, M. Sioutis, K. Bereta, D. Michail, C. Kontoes, I. Papoutsis, T. Herekakis, S. Manegold, M. Kersten, M. Ivanova, H. Pirk, Y. Zhang, M. Datcu, G. Schwarz, O. C. Dumitru, D. E. Molina, K. Molch, U. D. Giammatteo, M. Sagona, S. Perelli, T. Reitz, E. Klien, and R. Gregor. TELEIOS: A Database-Powered Virtual Earth Observatory. Proceedings of the VLDB Endowment (PVLDB), 5(12), 2012.

Digital Library

[12]

M. Koubarakis, M. Sioutis, K. Kyzirakos, M. Karpathiotakis, C. Nikolaou, S. Vassos, G. Garbis, K. Bereta, O. C. Dumitru, D. E. Molina, K. Molch, G. Schwarz, and M. Datcu. Building Virtual Earth Observatories using Ontologies, Linked Geospatial Data and Knowledge Discovery Algorithms. In ODBASE'12, 2012.

[13]

K. Kyzirakos, M. Karpathiotakis, G. Garbis, C. Nikolaou, K. Bereta, M. Sioutis, I. Papoutsis, T. Herekakis, D. Michail, M. Koubarakis, and C. Kontoes. Real Time Fire Monitoring Using Semantic Web and Linked Data Technologies. In ISWC'12, 2012.

[14]

K. Kyzirakos, M. Karpathiotakis, and M. Koubarakis. Strabon: A Semantic Geospatial DBMS. In ISWC'12, Boston, USA, 2012.

Digital Library

[15]

D. L. McGuinness, P. Fox, L. Cinquini, P. West, J. Garcia, J. L. Benedict, and D. Middleton. The virtual solar-terrestrial observatory: A deployed semantic web application case study for scientific research. In AAAI, 2007.

Digital Library

[16]

O. G. C. I. OGC. GeoSPARQL - A geographic query language for RDF data, November 2010.

[17]

J. M. Patel, J.-B. Yu, N. Kabra, K. Tufte, B. Nag, J. Burger, N. E. Hall, K. Ramasamy, R. Lueder, C. J. Ellmann, J. Kupsch, S. Guo, D. J. DeWitt, and J. F. Naughton. Building a scaleable geo-spatial dbms: Technology, implementation, and evaluation. In SIGMOD Conference, pages 336--347, 1997.

Digital Library

[18]

M. Podwyszynski. Knowledge-based search for Earth Observation products. Master's thesis, Passau Univ., 2009.

[19]

R. Raskin and M. Pan. Knowledge representation in the semantic web for Earth and environmental terminology (SWEET). Computers & Geosciences, 2005.

Digital Library

[20]

N. Sifakis, C. Iossifidis, C. Kontoes, and I. Keramitsoglou. Wildfire Detection and Tracking over Greece Using MSG-SEVIRI Satellite Data. Remote Sensing, 2011.

[21]

M. Stonebraker. Sequoia 2000: A reflection of the first three years. In SSDBM, pages 108--116, 1994.

Digital Library

[22]

M. Stonebraker, J. Becla, D. J. DeWitt, K.-T. Lim, D. Maier, O. Ratzesberger, and S. B. Zdonik. Requirements for Science Data Bases and SciDB. In CIDR, 2009.

[23]

Y. Zhang, M. L. Kersten, M. Ivanova, and N. Nes. SciQL: Bridging the Gap between Science and Relational DBMS. In IDEAS, pages 124--133, 2011.

Digital Library

Cited By

Punjani DKoubarakis MTsalapati E(2023) EarthQA: A Question Answering Engine for Earth Observation Data Archives * IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium10.1109/IGARSS52108.2023.10282475(1396-1399)Online publication date: 16-Jul-2023
https://doi.org/10.1109/IGARSS52108.2023.10282475
Rizanov SYakimov P(2023)The Technological Ecosystem of Modern Wildfire Detection: A Review2023 XXXII International Scientific Conference Electronics (ET)10.1109/ET59121.2023.10278698(1-6)Online publication date: 13-Sep-2023
https://doi.org/10.1109/ET59121.2023.10278698
(2023)Geospatial Data ScienceundefinedOnline publication date: 9-Jun-2023
Show More Cited By

Index Terms

Real-time wildfire monitoring using scientific database and linked data technologies
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Geographic visualization
      2. Scientific visualization
2. Information systems
  1. Information systems applications
    1. Spatial-temporal systems

Recommendations

Monitoring crop phenology with street-level imagery using computer vision
Highlights
- Method to automatically collect side looking imagery for agriculture parcels.
- Crop types and phenology obtained from computer vision.
- Demonstration over monthly surveyed totalling 400,000 pictures for 17 crop types.
- Deep ...
Abstract
Street-level imagery holds a significant potential to scale-up in-situ data collection. This is enabled by combining the use of cheap high-quality cameras with recent advances in deep learning compute solutions to derive relevant thematic ...
Publishing scientific data as linked open data

The concept and computer methods for the implementation of new form-linked data technologies for scientific communication are observed. This concept is being advanced by the Internet creator Tim Berners-Lee in the framework of the general idea of the ...
Automated mapping generation for converting databases into linked data
ISWC-PD'10: Proceedings of the 2010 International Conference on Posters & Demonstrations Track - Volume 658

Most of the data on the Web is stored in relational databases. In order to make the Semantic Web grow we need to provide easy-to-use tools to convert those databases into linked data, so that even people with little knowledge of the semantic web can use ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

EDBT '13: Proceedings of the 16th International Conference on Extending Database Technology

March 2013

793 pages

ISBN:9781450315975

DOI:10.1145/2452376

General Chair:
Giovanna Guerrini
Università di Genova, Italy
,
Program Chair:
Norman W. Paton
University of Manchester, UK

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 March 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

NSRF project SWeFS (180)
Seventh Framework Programme

Conference

EDBT/ICDT '13

EDBT/ICDT '13: Joint 2013 EDBT/ICDT Conferences

March 18 - 22, 2013

Genoa, Italy

Acceptance Rates

Overall Acceptance Rate 7 of 10 submissions, 70%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

20
Total Citations
View Citations
325
Total Downloads

Downloads (Last 12 months)18
Downloads (Last 6 weeks)2

Reflects downloads up to 10 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

Punjani DKoubarakis MTsalapati E(2023) EarthQA: A Question Answering Engine for Earth Observation Data Archives * IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium10.1109/IGARSS52108.2023.10282475(1396-1399)Online publication date: 16-Jul-2023
https://doi.org/10.1109/IGARSS52108.2023.10282475
Rizanov SYakimov P(2023)The Technological Ecosystem of Modern Wildfire Detection: A Review2023 XXXII International Scientific Conference Electronics (ET)10.1109/ET59121.2023.10278698(1-6)Online publication date: 13-Sep-2023
https://doi.org/10.1109/ET59121.2023.10278698
(2023)Geospatial Data ScienceundefinedOnline publication date: 9-Jun-2023
Koubarakis MBereta KNikolaou CStamoulis G(2022)Linked Geospatial DataEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_71-3(1-8)Online publication date: 26-Nov-2022
https://doi.org/10.1007/978-3-319-63962-8_71-3
Ioannidis TGarbis GKyzirakos KBereta KKoubarakis M(2021)Evaluating Geospatial RDF Stores Using the Benchmark Geographica 2Journal on Data Semantics10.1007/s13740-021-00118-xOnline publication date: 23-Apr-2021
https://doi.org/10.1007/s13740-021-00118-x
Koubarakis MBereta KBilidas DPantazi DStamoulis G(2021)A Data Science Pipeline for Big Linked Earth Observation DataTechnologies and Applications for Big Data Value10.1007/978-3-030-78307-5_19(431-452)Online publication date: 1-Jul-2021
https://doi.org/10.1007/978-3-030-78307-5_19
Koubarakis MBereta KNikolaou CStamoulis G(2019)Linked Geospatial DataEncyclopedia of Big Data Technologies10.1007/978-3-319-77525-8_71(1124-1131)Online publication date: 20-Feb-2019
https://doi.org/10.1007/978-3-319-77525-8_71
Uta AVarbanescu AMusaafir ALemaire CIosup A(2018)Exploring HPC and Big Data Convergence: A Graph Processing Study on Intel Knights Landing2018 IEEE International Conference on Cluster Computing (CLUSTER)10.1109/CLUSTER.2018.00019(66-77)Online publication date: Sep-2018
https://doi.org/10.1109/CLUSTER.2018.00019
Yang CMeng XDu Z(2018)Cloud based Real-Time and Low Latency Scientific Event Analysis2018 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2018.8622464(498-507)Online publication date: Dec-2018
https://doi.org/10.1109/BigData.2018.8622464
Nikolaou CDogani KBereta KGarbis GKarpathiotakis MKyzirakos KKoubarakis M(2018)SextantWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2015.09.00435:P1(35-52)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.1016/j.websem.2015.09.004
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents