Motivated by real-life emerging needs in critical domains, this paper proposes a coherent and generic ontology for the representation of semantic trajectories, in association to related events and contextual information, to support analytics. The main contribution of the proposed ontology is twofold: (a) The representation of semantic trajectories at varying, interlinked levels of spatio-temporal analysis, (b) enabling data transformations that can support analytics tasks. The paper presents the ontology in detail, in connection to other well-known ontologies, and demonstrates how data is represented at varying levels of analysis, enabling the required data transformations. The benefits of the representation are shown in the context of supporting visual analytics tasks in the air-traffic management domain.

References

[1]

Luis Otávio Alvares, Vania Bogorny, Bart Kuijpers, José Antônio Fernandes de Macêdo, Bart Moelans, and Alejandro A. Vaisman. 2007. A model for enriching trajectories with semantic geographical information. In GIS. 22.

Digital Library

Google Scholar

[2]

Gennady Andrienko, Natalia Andrienko, Peter Bak, Daniel Keim, and Stefan Wrobel. Visual Analytics of Movement.

Google Scholar

[3]

Gennady Andrienko, Natalia Andrienko, Wei Chen, Ross Maciejewski, and Ye Zhao. Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions. Vol. PP/99.

Google Scholar

[4]

Miriam Baglioni, José Antônio Fernandes de Macêdo, Chiara Renso, Roberto Trasarti, and Monica Wachowicz. 2009. Towards semantic interpretation of movement behavior. In Advances in GIScience. Springer, 271--288.

Google Scholar

[5]

Vania Bogorny, Chiara Renso, Artur Ribeiro de Aquino, Fernando de Lucca Siqueira, and Luis Otávio Alvares. 2014. CONSTAnT - A Conceptual Data Model for Semantic Trajectories of Moving Objects. Trans. GIS 18, 1 (2014), 66--88.

Crossref

Google Scholar

[6]

Renato Fileto, Cleto May, Chiara Renso, Nikos Pelekis, Douglas Klein, and Yannis Theodoridis. 2015. The Baquara2 knowledge-based framework for semantic enrichment and analysis of movement data. Data Knowl. Eng. 98 (2015), 104--122.

Digital Library

Google Scholar

[7]

Konstantinos Kotis and George A. Vouros. 2006. Human-centered ontology engineering: The HCOME methodology. Knowl. Inf. Syst. 10, 1 (2006), 109--131.

Digital Library

Google Scholar

[8]

Tales P. Nogueira and Hervé Martin. 2015. Querying semantic trajectory episodes. In Proc. of MobiGIS. 23--30.

Digital Library

Google Scholar

[9]

Christine Parent, Stefano Spaccapietra, Chiara Renso, Gennady L. Andrienko, Natalia V. Andrienko, Vania Bogorny, Maria Luisa Damiani, Aris Gkoulalas-Divanis, José Antônio Fernandes de Macêdo, Nikos Pelekis, Yannis Theodoridis, and Zhixian Yan. 2013. Semantic trajectories modeling and analysis. ACM Comput. Surv. 45, 4 (2013), 42.

Digital Library

Google Scholar

[10]

Donna J Peuquet. 1994. It's about time: A conceptual framework for the representation of temporal dynamics in geographic information systems. Annals of the Association of American Geographers 84, 3 (1994), 441--461.

Crossref

Google Scholar

[11]

Georgios Santipantakis, George Vouros, Apostolos Glenis, Christos Doulkeridis, and Akrivi Vlachou. 2017. The datAcron Ontology for Semantic Trajectories. In ESWC-Poster Session.

Google Scholar

[12]

Stefano Spaccapietra, Christine Parent, Maria Luisa Damiani, José Antônio Fernandes de Macêdo, Fábio Porto, and Christelle Vangenot. 2008. A conceptual view on trajectories. Data Knowl. Eng. 65, 1 (2008), 126--146.

Digital Library

Google Scholar

Cited By

View all

Nilsson JJaved SAlbertsson KDelsing JLiwicki MSandin F(2024)AI Concepts for System of Systems Dynamic InteroperabilitySensors10.3390/s2409292124:9(2921)Online publication date: 3-May-2024
https://doi.org/10.3390/s24092921
M. Santipantakis GDoulkeridis CA. Vouros G(2023)An Ontology for Representing and Querying Semantic Trajectories in the Maritime DomainAdvances in Databases and Information Systems10.1007/978-3-031-42914-9_16(224-237)Online publication date: 28-Aug-2023
https://doi.org/10.1007/978-3-031-42914-9_16
Song RWen YTao WZhang QPapadimitriou Evan Gelder P(2022)Semantic Modeling of Ship Behavior in Cognitive SpaceJournal of Marine Science and Engineering10.3390/jmse1010134710:10(1347)Online publication date: 22-Sep-2022
https://doi.org/10.3390/jmse10101347
Show More Cited By

Index Terms

Specification of Semantic Trajectories Supporting Data Transformations for Analytics: The datAcron Ontology
1. Information systems
  1. World Wide Web
    1. Web data description languages
      1. Semantic web description languages
        Web Ontology Language (OWL)

Recommendations

Summarizing Trajectories Using Semantically Enriched Geographical Context
SIGSPATIAL '23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems

The proliferation of tracking sensors in today's devices has led to the generation of high-frequency, high-volume streams of mobility data capturing the movements of various objects. These movement data can be enriched with semantic contextual ...
Enriching Mobility Data with Linked Open Data
IDEAS '16: Proceedings of the 20th International Database Engineering & Applications Symposium

Recent research has pointed out the needs and advantages of the semantic enrichment of movement data, a process where trajectories are partitioned into homogeneous segments that are annotated with contextual information. However, the lack of a ...
Designing semantic web services using conceptual model
SAC '08: Proceedings of the 2008 ACM symposium on Applied computing

There are emerging technologies such as SAWSDL or WSMO that extend the current Web Services technologies to so called Semantic Web Services by combining the structural and semantic descriptions of Web services. In this paper, we identify problems that ...

Comments

Information & Contributors

Information

Published In

Semantics2017: Proceedings of the 13th International Conference on Semantic Systems

September 2017

202 pages

ISBN:9781450352963

DOI:10.1145/3132218

Editors:
Rinke Hoekstra
Elsevier B.V., Amsterdam, The Netherlands
,
Catherine Faron-Zucker
University of Nice Sophia Antipolis, France
,
Tassilo Pellegrini
University of Applied Sciences St. Poelten, Austria
,
Victor de Boer
Vrije Universiteit Amsterdam, The Netherlands

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]

In-Cooperation

St. Pölten University: St. Pölten University of Applied Sciences, Austria
Wolters Kluwer: Wolters Kluwer, Germany
Vrije Universeit Amsterdam: Vrije Universeit Amsterdam
Semantic Web Company: Semantic Web Company
Uinv. Leipzig: Universität Leipzig

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 September 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

Semantics2017

Semantics2017: Semantics 2017 - 13th International Conference on Semantic Systems

September 11 - 14, 2017

Amsterdam, Netherlands

Acceptance Rates

Overall Acceptance Rate 40 of 182 submissions, 22%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

16
Total Citations
View Citations
105
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)1

Reflects downloads up to 15 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Nilsson JJaved SAlbertsson KDelsing JLiwicki MSandin F(2024)AI Concepts for System of Systems Dynamic InteroperabilitySensors10.3390/s2409292124:9(2921)Online publication date: 3-May-2024
https://doi.org/10.3390/s24092921
M. Santipantakis GDoulkeridis CA. Vouros G(2023)An Ontology for Representing and Querying Semantic Trajectories in the Maritime DomainAdvances in Databases and Information Systems10.1007/978-3-031-42914-9_16(224-237)Online publication date: 28-Aug-2023
https://doi.org/10.1007/978-3-031-42914-9_16
Song RWen YTao WZhang QPapadimitriou Evan Gelder P(2022)Semantic Modeling of Ship Behavior in Cognitive SpaceJournal of Marine Science and Engineering10.3390/jmse1010134710:10(1347)Online publication date: 22-Sep-2022
https://doi.org/10.3390/jmse10101347
Angelis SKotis KSpiliotopoulos D(2021)Semantic Trajectory Analytics and Recommender Systems in Cultural SpacesBig Data and Cognitive Computing10.3390/bdcc50400805:4(80)Online publication date: 16-Dec-2021
https://doi.org/10.3390/bdcc5040080
Santipantakis GDoulkeridis CVouros G(2021)Link Discovery for Maritime MonitoringGuide to Maritime Informatics10.1007/978-3-030-61852-0_7(203-231)Online publication date: 9-Feb-2021
https://doi.org/10.1007/978-3-030-61852-0_7
Vassilakis CKotis KSpiliotopoulos DMargaris DKasapakis VAnagnostopoulos CSantipantakis GVouros GKotsilieris TPetukhova VMalchanau ALykourentzou IHelin KRevenko AGligoric NPokric B(2020)A Semantic Mixed Reality Framework for Shared Cultural Experiences EcosystemsBig Data and Cognitive Computing10.3390/bdcc40200064:2(6)Online publication date: 20-Apr-2020
https://doi.org/10.3390/bdcc4020006
Izquierdo YMonteagudo García GCasanova MPaes Leme LSardianos CTserpes KVarlamis IRuback Rodrigues L(2020)Stop-and-move sequence expressions over semantic trajectoriesInternational Journal of Geographical Information Science10.1080/13658816.2020.1793157(1-26)Online publication date: 20-Jul-2020
https://doi.org/10.1080/13658816.2020.1793157
Kotis KVouros GSpiliotopoulos D(2020)Ontology engineering methodologies for the evolution of living and reused ontologies: status, trends, findings and recommendationsThe Knowledge Engineering Review10.1017/S026988892000006535Online publication date: 31-Jan-2020
https://doi.org/10.1017/S0269888920000065
Santipantakis GGlenis APatroumpas KVlachou ADoulkeridis CVouros GPelekis NTheodoridis Y(2020)SPARTAN: Semantic integration of big spatio-temporal data from streaming and archival sourcesFuture Generation Computer Systems10.1016/j.future.2018.07.007110(540-555)Online publication date: Sep-2020
https://doi.org/10.1016/j.future.2018.07.007
Nikitopoulos PKoutroumanis NVlachou ADoulkeridis CVouros G(2020)Distributed Storage of Large Knowledge Graphs with Mobility DataBig Data Analytics for Time-Critical Mobility Forecasting10.1007/978-3-030-45164-6_7(181-211)Online publication date: 24-Jun-2020
https://doi.org/10.1007/978-3-030-45164-6_7
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.

Cited By

Index Terms

Recommendations

Summarizing Trajectories Using Semantically Enriched Geographical Context

Enriching Mobility Data with Linked Open Data

Designing semantic web services using conceptual model

Comments

Published In

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Summarizing Trajectories Using Semantically Enriched Geographical Context

Enriching Mobility Data with Linked Open Data

Designing semantic web services using conceptual model

Comments

Information

Published In

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations