A Data Model and Predicate Logic for Trajectory Data

dc.contributor.authorBornholdt, Johann
dc.contributor.authorChondrogiannis, Theodoros
dc.contributor.authorGrossniklaus, Michael
dc.date.accessioned2024-10-15T09:06:20Z
dc.date.available2024-10-15T09:06:20Z
dc.date.issued2024
dc.description.abstractWith recent sensor and tracking technology advances, the volume of available trajectory data is steadily increasing. Consequently, managing and analyzing trajectory data has seen significant interest from the research community. The challenges presented by trajectory data arise from their spatio-temporal nature as well as the uncertainty regarding locations between sampled points. In this paper, we present a data model that treats trajectories as first-class citizens, thus fully capturing their spatio-temporal properties. We also introduce a predicate logic that enable query processing under different uncertainty assumptions. Finally, we show that our predicate logic is expressive enough to capture all spatial and temporal relations put forward by previous work.
dc.description.versionpublisheddeu
dc.identifier.doi10.1007/978-3-031-70626-4_2
dc.identifier.ppn1905963025
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/70982
dc.language.isoeng
dc.subjectTrajectory Data
dc.subjectData Modeling
dc.subjectPredicate Logic
dc.subject.ddc004
dc.titleA Data Model and Predicate Logic for Trajectory Dataeng
dc.typeINPROCEEDINGS
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{Bornholdt2024Model-70982,
  title={A Data Model and Predicate Logic for Trajectory Data},
  year={2024},
  doi={10.1007/978-3-031-70626-4_2},
  number={14918},
  isbn={978-3-031-70628-8},
  issn={0302-9743},
  address={Cham},
  publisher={Springer},
  series={Lecture Notes in Computer Science (LNCS)},
  booktitle={Advances in Databases and Information Systems : 28th European Conference, ADBIS 2024, Proceedings},
  pages={18--31},
  editor={Tekli, Joe and Gamper, Johann and Chbeir, Richard and Manolopoulos, Yannis},
  author={Bornholdt, Johann and Chondrogiannis, Theodoros and Grossniklaus, Michael}
}
kops.citation.iso690BORNHOLDT, Johann, Theodoros CHONDROGIANNIS, Michael GROSSNIKLAUS, 2024. A Data Model and Predicate Logic for Trajectory Data. 28th European Conference on Advances in Databases and Information Systems, ADBIS 2024. Bayonne, France, 28. Aug. 2024 - 31. Aug. 2024. In: TEKLI, Joe, Hrsg., Johann GAMPER, Hrsg., Richard CHBEIR, Hrsg., Yannis MANOLOPOULOS, Hrsg.. Advances in Databases and Information Systems : 28th European Conference, ADBIS 2024, Proceedings. Cham: Springer, 2024, S. 18-31. Lecture Notes in Computer Science (LNCS). 14918. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-031-70628-8. Verfügbar unter: doi: 10.1007/978-3-031-70626-4_2deu
kops.citation.iso690BORNHOLDT, Johann, Theodoros CHONDROGIANNIS, Michael GROSSNIKLAUS, 2024. A Data Model and Predicate Logic for Trajectory Data. 28th European Conference on Advances in Databases and Information Systems, ADBIS 2024. Bayonne, France, Aug 28, 2024 - Aug 31, 2024. In: TEKLI, Joe, ed., Johann GAMPER, ed., Richard CHBEIR, ed., Yannis MANOLOPOULOS, ed.. Advances in Databases and Information Systems : 28th European Conference, ADBIS 2024, Proceedings. Cham: Springer, 2024, pp. 18-31. Lecture Notes in Computer Science (LNCS). 14918. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-031-70628-8. Available under: doi: 10.1007/978-3-031-70626-4_2eng
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kops.conferencefield28th European Conference on Advances in Databases and Information Systems, ADBIS 2024, 28. Aug. 2024 - 31. Aug. 2024, Bayonne, Francedeu
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kops.location.conferenceBayonne, France
kops.sourcefieldTEKLI, Joe, Hrsg., Johann GAMPER, Hrsg., Richard CHBEIR, Hrsg., Yannis MANOLOPOULOS, Hrsg.. <i>Advances in Databases and Information Systems : 28th European Conference, ADBIS 2024, Proceedings</i>. Cham: Springer, 2024, S. 18-31. Lecture Notes in Computer Science (LNCS). 14918. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-031-70628-8. Verfügbar unter: doi: 10.1007/978-3-031-70626-4_2deu
kops.sourcefield.plainTEKLI, Joe, Hrsg., Johann GAMPER, Hrsg., Richard CHBEIR, Hrsg., Yannis MANOLOPOULOS, Hrsg.. Advances in Databases and Information Systems : 28th European Conference, ADBIS 2024, Proceedings. Cham: Springer, 2024, S. 18-31. Lecture Notes in Computer Science (LNCS). 14918. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-031-70628-8. Verfügbar unter: doi: 10.1007/978-3-031-70626-4_2deu
kops.sourcefield.plainTEKLI, Joe, ed., Johann GAMPER, ed., Richard CHBEIR, ed., Yannis MANOLOPOULOS, ed.. Advances in Databases and Information Systems : 28th European Conference, ADBIS 2024, Proceedings. Cham: Springer, 2024, pp. 18-31. Lecture Notes in Computer Science (LNCS). 14918. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-031-70628-8. Available under: doi: 10.1007/978-3-031-70626-4_2eng
kops.title.conference28th European Conference on Advances in Databases and Information Systems, ADBIS 2024
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source.contributor.editorTekli, Joe
source.contributor.editorGamper, Johann
source.contributor.editorChbeir, Richard
source.contributor.editorManolopoulos, Yannis
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source.titleAdvances in Databases and Information Systems : 28th European Conference, ADBIS 2024, Proceedings

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