Publikation:

A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos

Lade...
Vorschaubild

Dateien

12453.6.pdf
12453.6.pdfGröße: 531.71 KBDownloads: 1002

Datum

2010

Autor:innen

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

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

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

PAINHO, Marco, ed., Maribel Yasmina SANTOS, ed., Hardy PUNDT, ed.. Geospatial Thinking. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010, pp. 163-182. Lecture Notes in Geoinformation and Cartography. 0. ISBN 978-3-642-12325-2. Available under: doi: 10.1007/978-3-642-12326-9_9

Zusammenfassung

In this paper we present a novel approach for analyzing the trajectories of moving objects and of people in particular. The minded data from these sequences can provide valuable information for understanding the surrounding locations, discovering attractive place or mining frequent sequences of visited places. Based on geotagged photos, our framework

mines semantically annotated sequences. Our framework is capable of mining semantically annotated sequences of any length to discover patterns that are not necessarily immediate antecedents. The approach consists of four main steps. In the first step, every photo location is semantically annotated by assigning it to a known nearby point of interest. In the

second step, a density-based clustering algorithm is applied to all unassigned photos, creating regions of unknown points of interest. In the third step, a travel sequence of every individual is built. In the final step, travel sequence patterns are mined using the semantics that were obtained from the first two steps. Case studies of Guimarães, Portugal (where the conference takes place) and Berlin, Germany demonstrate the capabilities of the proposed framework.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
550 Geowissenschaften

Schlagwörter

sequence mining, trajectories, sequence patterns

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690KISILEVICH, Slava, Daniel A. KEIM, Lior ROKACH, 2010. A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos. In: PAINHO, Marco, ed., Maribel Yasmina SANTOS, ed., Hardy PUNDT, ed.. Geospatial Thinking. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010, pp. 163-182. Lecture Notes in Geoinformation and Cartography. 0. ISBN 978-3-642-12325-2. Available under: doi: 10.1007/978-3-642-12326-9_9
BibTex
@inproceedings{Kisilevich2010-03-31Novel-6012,
  year={2010},
  doi={10.1007/978-3-642-12326-9_9},
  title={A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos},
  number={0},
  isbn={978-3-642-12325-2},
  publisher={Springer Berlin Heidelberg},
  address={Berlin, Heidelberg},
  series={Lecture Notes in Geoinformation and Cartography},
  booktitle={Geospatial Thinking},
  pages={163--182},
  editor={Painho, Marco and Santos, Maribel Yasmina and Pundt, Hardy},
  author={Kisilevich, Slava and Keim, Daniel A. and Rokach, Lior}
}
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/123456789/6012">
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:issued>2010-03-31</dcterms:issued>
    <dcterms:abstract xml:lang="eng">In this paper we present a novel approach for analyzing the trajectories of moving objects and of people in particular. The minded data from these sequences can provide valuable information for understanding the surrounding locations, discovering attractive place or mining frequent sequences of visited places. Based on geotagged photos, our framework&lt;br /&gt;&lt;br /&gt;mines semantically annotated sequences. Our framework is capable of mining semantically annotated sequences of any length to discover patterns that are not necessarily immediate antecedents. The approach consists of four main steps. In the first step, every photo location is semantically annotated by assigning it to a known nearby point of interest. In the&lt;br /&gt;&lt;br /&gt;second step, a density-based clustering algorithm is applied to all unassigned photos, creating regions of unknown points of interest. In the third step, a travel sequence of every individual is built. In the final step, travel sequence patterns are mined using the semantics that were obtained from the first two steps. Case studies of Guimarães, Portugal (where the conference takes place) and Berlin, Germany demonstrate the capabilities of the proposed framework.</dcterms:abstract>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:08:44Z</dc:date>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dcterms:bibliographicCitation>Also publ. in: Geospatial thinking / Marco Painho ... (Eds.). - Berlin; Heidelberg : Springer, 2010. - pp. 163-182. - ISBN 978-3-642-12325-2</dcterms:bibliographicCitation>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/6012/1/12453.6.pdf"/>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-10-31T23:25:04Z</dcterms:available>
    <dc:creator>Kisilevich, Slava</dc:creator>
    <dc:creator>Rokach, Lior</dc:creator>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dc:format>application/pdf</dc:format>
    <dc:language>eng</dc:language>
    <dc:contributor>Rokach, Lior</dc:contributor>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/6012/1/12453.6.pdf"/>
    <dcterms:title>A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos</dcterms:title>
    <dc:contributor>Kisilevich, Slava</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/6012"/>
  </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