Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3297280.3297504acmconferencesArticle/Chapter ViewAbstractPublication PagessacConference Proceedingsconference-collections
research-article

GeoSensor: semantifying change and event detection over big data

Published: 08 April 2019 Publication History

Abstract

GeoSensor is a novel, open-source system that enriches change detection over satellite images with event detection over news items and social media content. GeoSensor combines these two orthogonal operations through state-of-the-art Semantic Web technologies. At its core lies the open-source, semantics-enabled Big Data infrastructure developed by the EU H2020 BigDataEurope project. This allows GeoSensor to offer an on-line functionality, despite facing three major challenges of Big Data: Volume (a single satellite image typically occupies a few GBs), Variety (its data sources include two different types of satellite images and various types of user-generated content) and Veracity, as the accuracy of the end result is crucial for the usefulness of our system. We present GeoSensor's architecture in detail, highlighting the advantages of using semantics for taking the most of the knowledge extracted from news items and Earth Observation products. We also verify GeoSensor's efficiency through a preliminary experimental study.

References

[1]
Hamed Abdelhaq, Christian Sengstock, and Michael Gertz. 2013. Eventweet: Online localized event detection from twitter. PVLDB 6, 12 (2013), 1326--1329.
[2]
Charu C Aggarwal and Karthik Subbian. 2012. Event detection in social streams. In SDM. 624--635.
[3]
Fotis Aisopos, George Papadakis, Konstantinos Tserpes, and Theodora A. Varvarigou. 2012. Content vs. context for sentiment analysis: a comparative analysis over microblogs. In ACM Conference on Hypertext and Social Media. 187--196.
[4]
Farzindar Atefeh and Wael Khreich. 2015. A survey of techniques for event detection in twitter. Computational Intelligence 31, 1 (2015), 132--164.
[5]
Sören Auer, Simon Scerri, and Aad Versteden et. al. 2017. The BigDataEurope Platform --- Supporting the Variety Dimension of Big Data. In ICWE. 41--59.
[6]
Konstantina Bereta, Panayiotis Smeros, and Manolis Koubarakis. 2013. Representation and Querying of Valid Time of Triples in Linked Geospatial Data. In ESWC. 259--274.
[7]
Francesca Bovolo and Lorenzo Bruzzone. 2015. The time variable in data fusion: A change detection perspective. IEEE Geosc. Remote Sensing Mag. 3, 3 (2015), 8--26.
[8]
Grégoire Burel, Hassan Saif, and Harith Alani. 2017. Semantic Wide and Deep Learning for Detecting Crisis-Information Categories on Social Media. In ISWC. 138--155.
[9]
Angelos Charalambidis, Antonis Troumpoukis, and Stasinos Konstantopoulos. 2015. Semagrow: Optimizing federated SPARQL queries. In SEMANTiCS. 121--128.
[10]
Ping Chen, Soo Chin Liew, and Leong Keong Kwoh. 2017. Mangrove mapping and change detection using satellite imagery. In IGARSS. 5717--5720.
[11]
Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, and Jun Zhao. 2015. Event extraction via dynamic multi-pooling convolutional neural networks. In ACL. 167--176.
[12]
Daniela Espinoza-Molina, Reza Bahmanyar, Ricardo Díaz-Delgado, Javier Bustamante, and Mihai Datcu. 2017. Land-cover change detection using local feature descriptors extracted from spectral indices. In IGARSS. 1938--1941.
[13]
Martin Ester, Hans-Peter Kriegel, Jörg Sander, and Xiaowei Xu. 1996. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In KDD. 226--231.
[14]
George Garbis, Kostis Kyzirakos, and Manolis Koubarakis. 2013. Geographica: A Benchmark for Geospatial RDF Stores (Long Version). In ISWC. 343--359.
[15]
George Giannakopoulos, Vangelis Karkaletsis, George A. Vouros, and Panagiotis Stamatopoulos. 2008. Summarization system evaluation revisited: N-gram graphs. TSLP 5, 3 (2008), 5:1--5:39.
[16]
George Giannakopoulos, George Kiomourtzis, and Vangelis Karkaletsis. 2014. NewSum: N-Gram Graph-Based Summarization in the Real World. In Innovative Document Summarization Techniques: Revolutionizing Knowledge Understanding.
[17]
George Giannakopoulos, Jeff Kubina, John Conroy, Josef Steinberger, and Benoit et al. Favre. 2015. Multiling 2015: multilingual summarization of single and multi-documents, on-line fora, and call-center conversations. In SIGDIAL. 270--274.
[18]
George Giannakopoulos, Petra Mavridi, Georgios Paliouras, George Papadakis, and Konstantinos Tserpes. 2012. Representation models for text classification: a comparative analysis over three web document types. In WIMS. 1--12.
[19]
Maoguo Gong, Tao Zhan, Puzhao Zhang, and Qiguang Miao. 2017. Superpixel-Based Difference Representation Learning for Change Detection in Multispectral Remote Sensing Images. IEEE Geosci. Remote Sensing 55, 5 (2017), 2658--2673.
[20]
Salman Hameed Khan, Xuming He, Fatih Porikli, and Mohammed Bennamoun. 2017. Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks. IEEE Trans. Geoscience and Remote Sensing 55, 9 (2017), 5407--5423.
[21]
Shamanth Kumar, Huan Liu, Sameep Mehta, and L Venkata Subramaniam. 2014. From tweets to events: Exploring a scalable solution for Twitter streams. arXiv preprint:1405.1392 (2014).
[22]
Kostis Kyzirakos, Manos Karpathiotakis, and Manolis Koubarakis. 2012. Strabon: A Semantic Geospatial DBMS. In ISWC. 295--311.
[23]
Kostis Kyzirakos, Dimitrianos Savva, Ioannis Vlachopoulos, Alexandras Vasileiou, Nikolaos Karalis, Manolis Koubarakis, and Stefan Manegold. 2018. GeoTriples: Transforming Geospatial Data into RDF Graphs Using R2RML and RML Mappings. Web Semantics: Science, Services and Agents on the World Wide Web (2018).
[24]
Kostis Kyzirakos, Ioannis Vlachopoulos, Dimitrianos Savva, Stefan Manegold, and Manolis Koubarakis. 2014. GeoTriples: a Tool for Publishing Geospatial Data as RDF Graphs Using R2RML Mappings. In ISWC. 393--396.
[25]
Dengsheng Lu, P Mausel, E Brondizio, and Emilio Moran. 2004. Change detection techniques. International journal of remote sensing 25, 12 (2004), 2365--2401.
[26]
Juha Makkonen, Helena Ahonen-Myka, and Marko Salmenkivi. 2002. Applying semantic classes in event detection and tracking. In ICON 2002. 175--183.
[27]
Juha Makkonen, Helena Ahonen-Myka, and Marko Salmenkivi. 2004. Simple semantics in topic detection and tracking. Inf. Retr. 7, 3--4 (2004), 347--368.
[28]
Thien Huu Nguyen and Ralph Grishman. 2015. Event detection and domain adaptation with convolutional neural networks. In ACL. 365--371.
[29]
Charalampos Nikolaou, Kallirroi Dogani, Konstantina Bereta, George Garbis, Manos Karpathiotakis, Kostis Kyzirakos, and Manolis Koubarakis. 2015. Sextant: Visualizing time-evolving linked geospatial data. J. Web Sem. 35 (2015), 35--52.
[30]
Ozer Ozdikis, Pinar Senkul, and Halit Oguztuzun. 2012. Semantic expansion of tweet contents for enhanced event detection in twitter. In ASONAM. 20--24.
[31]
Nikolaos Panagiotou, Ioannis Katakis, and Dimitrios Gunopulos. 2016. Detecting events in online social networks: Definitions, trends and challenges. In Solving Large Scale Learning Tasks. Challenges and Algorithms. 42--84.
[32]
George Papadakis, George Giannakopoulos, and Georgios Paliouras. 2016. Graph vs. bag representation models for the topic classification of web documents. WWW 19, 5 (2016), 887--920.
[33]
Richard J. Radke, Srinivas Andra, Omar Al-Kofahi, and Badrinath Roysam. 2005. Image change detection algorithms: a systematic survey. IEEE Trans. Image Process. 14, 3 (2005), 294--307.
[34]
Jagan Sankaranarayanan, Hanan Samet, Benjamin E Teitler, Michael D Lieberman, and Jon Sperling. 2009. Twitterstand: news in tweets. In SIGSPATIAL. 42--51.
[35]
Thomas Schandl and Andreas Blumauer. 2010. PoolParty: SKOS Thesaurus Management Utilizing Linked Data. In ESWC. 421--425.
[36]
Nestor Yague-Martinez, Francesco De Zan, and Pau Prats-Iraola. 2017. Coregistration of Interferometric Stacks of Sentinel-1 TOPS Data. IEEE Geosci. Remote Sensing 14, 7 (2017), 1002--1006.
[37]
Yiming Yang, Tom Pierce, and Jaime Carbonell. 1998. A study of retrospective and on-line event detection. In SIGIR. 28--36.

Cited By

View all
  • (2024)Detecting Local Crisis Events: A Case Study on the Colorado Wildfires through Social Media and Satellite Imagery2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)10.1109/M2GARSS57310.2024.10537590(88-92)Online publication date: 15-Apr-2024
  • (2023)Crisis Detection by Social and Remote Sensing Fusion: A Selective Attention ApproachComputational Collective Intelligence10.1007/978-3-031-41456-5_27(350-362)Online publication date: 27-Sep-2023
  • (2022)Semantic City Planning Systems (SCPS): A Literature ReviewJournal of Planning Literature10.1177/0885412221106852637:3(415-432)Online publication date: 4-Jan-2022
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
April 2019
2682 pages
ISBN:9781450359337
DOI:10.1145/3297280
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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 April 2019

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. big data
  2. change detection
  3. event detection
  4. linked data
  5. satellite data

Qualifiers

  • Research-article

Funding Sources

Conference

SAC '19
Sponsor:

Acceptance Rates

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

Upcoming Conference

SAC '25
The 40th ACM/SIGAPP Symposium on Applied Computing
March 31 - April 4, 2025
Catania , Italy

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)11
  • Downloads (Last 6 weeks)1
Reflects downloads up to 08 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Detecting Local Crisis Events: A Case Study on the Colorado Wildfires through Social Media and Satellite Imagery2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)10.1109/M2GARSS57310.2024.10537590(88-92)Online publication date: 15-Apr-2024
  • (2023)Crisis Detection by Social and Remote Sensing Fusion: A Selective Attention ApproachComputational Collective Intelligence10.1007/978-3-031-41456-5_27(350-362)Online publication date: 27-Sep-2023
  • (2022)Semantic City Planning Systems (SCPS): A Literature ReviewJournal of Planning Literature10.1177/0885412221106852637:3(415-432)Online publication date: 4-Jan-2022
  • (2020)Scaling and Semantically-Enriching Language-Agnostic SummarizationTrends and Applications of Text Summarization Techniques10.4018/978-1-5225-9373-7.ch009(244-292)Online publication date: 2020
  • (2020)Giving meaning to unsupervised EO change detection rastersProceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data10.1145/3423336.3429347(1-10)Online publication date: 3-Nov-2020
  • (2020)Suspicious Local Event Detection in Social Media and Remote Sensing: Towards a Geosocial Dataset Construction2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)10.1109/ATSIP49331.2020.9231798(1-6)Online publication date: Sep-2020

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media