Publikation:

A Data Model and Predicate Logic for Trajectory Data

Lade...
Vorschaubild

Dateien

Bornholdt_2-111as9zvevrpi1.pdf
Bornholdt_2-111as9zvevrpi1.pdfGröße: 314.65 KBDownloads: ?

Datum

2024

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Link zur Lizenz
oops

Angaben zur Forschungsförderung

Deutsche Forschungsgemeinschaft (DFG): 422037984

Projekt

Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz

Gesperrt bis

31. Oktober 2025

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen 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_2

Zusammenfassung

With 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.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Trajectory Data, Data Modeling, Predicate Logic

Konferenz

28th European Conference on Advances in Databases and Information Systems, ADBIS 2024, 28. Aug. 2024 - 31. Aug. 2024, Bayonne, France
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690BORNHOLDT, 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_2
BibTex
@inproceedings{Bornholdt2024Model-70982,
  year={2024},
  doi={10.1007/978-3-031-70626-4_2},
  title={A Data Model and Predicate Logic for Trajectory Data},
  number={14918},
  isbn={978-3-031-70628-8},
  issn={0302-9743},
  publisher={Springer},
  address={Cham},
  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}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/70982">
    <dc:contributor>Chondrogiannis, Theodoros</dc:contributor>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/70982/1/Bornholdt_2-111as9zvevrpi1.pdf"/>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/70982"/>
    <dcterms:abstract>With 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.</dcterms:abstract>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2024-10-15T09:06:20Z</dc:date>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Grossniklaus, Michael</dc:creator>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:language>eng</dc:language>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/70982/1/Bornholdt_2-111as9zvevrpi1.pdf"/>
    <dcterms:title>A Data Model and Predicate Logic for Trajectory Data</dcterms:title>
    <dc:creator>Chondrogiannis, Theodoros</dc:creator>
    <dcterms:issued>2024</dcterms:issued>
    <dc:creator>Bornholdt, Johann</dc:creator>
    <dc:contributor>Bornholdt, Johann</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2024-10-15T09:06:20Z</dcterms:available>
    <dc:contributor>Grossniklaus, Michael</dc:contributor>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen