Publikation:

Towards Acquisition of Semantics of Places and Events by Multi-perspective Analysis of Geotagged Photo Collections

Lade...
Vorschaubild

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2013

Autor:innen

Andrienko, Natalia
Andrienko, Gennady L.

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Sammelband
Publikationsstatus
Published

Erschienen in

MOORE, Antoni, ed., Igor DRECKI, ed.. Geospatial Visualisation. Berlin [u.a.]: Springer Berlin Heidelberg, 2013, pp. 211-233. Lecture Notes in Geoinformation and Cartography. ISBN 978-3-642-12288-0. Available under: doi: 10.1007/978-3-642-12289-7_10

Zusammenfassung

Due to the pervasiveness of positioning technology combined with the proliferation of socially-oriented web sites, community-contributed spatio-temporal data of people’s historical positions are available today in large amounts. The analysis of these data is valuable to scientists and can provide important information about people’s behavior, their movement, geographical places, and events. In this paper, we develop a conceptual framework and outline a methodology that allows us to analyze events and places using geotagged photo collections shared by people from many countries. These data are often semantically annotated by titles and tags that are useful for learning facts about the geographical places and for detecting events occurring in these places. The knowledge obtained through our analysis carries an additional benefit. For example, it may also be utilized by local authorities, service providers, tourist agencies, in sociological and anthropological studies or for building user centric applications like tour recommender systems. We provide a conceptual foundation for the analysis of spatio-temporal data of places visited by people worldwide using community contributed geotagged photo collections. First, we define several types of spatio-temporal clusters of people’s visits. Second, we discuss methods that can be used for analysis of these clusters. Third, we offer an analysis of tourist activities in Switzerland based on a case study.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690KISILEVICH, Slava, Daniel A. KEIM, Natalia ANDRIENKO, Gennady L. ANDRIENKO, 2013. Towards Acquisition of Semantics of Places and Events by Multi-perspective Analysis of Geotagged Photo Collections. In: MOORE, Antoni, ed., Igor DRECKI, ed.. Geospatial Visualisation. Berlin [u.a.]: Springer Berlin Heidelberg, 2013, pp. 211-233. Lecture Notes in Geoinformation and Cartography. ISBN 978-3-642-12288-0. Available under: doi: 10.1007/978-3-642-12289-7_10
BibTex
@incollection{Kisilevich2013Towar-38214,
  year={2013},
  doi={10.1007/978-3-642-12289-7_10},
  title={Towards Acquisition of Semantics of Places and Events by Multi-perspective Analysis of Geotagged Photo Collections},
  isbn={978-3-642-12288-0},
  publisher={Springer Berlin Heidelberg},
  address={Berlin [u.a.]},
  series={Lecture Notes in Geoinformation and Cartography},
  booktitle={Geospatial Visualisation},
  pages={211--233},
  editor={Moore, Antoni and Drecki, Igor},
  author={Kisilevich, Slava and Keim, Daniel A. and Andrienko, Natalia and Andrienko, Gennady L.}
}
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/123456789/38214">
    <dc:contributor>Andrienko, Natalia</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Kisilevich, Slava</dc:creator>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dc:creator>Andrienko, Gennady L.</dc:creator>
    <dc:creator>Andrienko, Natalia</dc:creator>
    <dcterms:title>Towards Acquisition of Semantics of Places and Events by Multi-perspective Analysis of Geotagged Photo Collections</dcterms:title>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/38214"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:contributor>Andrienko, Gennady L.</dc:contributor>
    <dcterms:abstract xml:lang="eng">Due to the pervasiveness of positioning technology combined with the proliferation of socially-oriented web sites, community-contributed spatio-temporal data of people’s historical positions are available today in large amounts. The analysis of these data is valuable to scientists and can provide important information about people’s behavior, their movement, geographical places, and events. In this paper, we develop a conceptual framework and outline a methodology that allows us to analyze events and places using geotagged photo collections shared by people from many countries. These data are often semantically annotated by titles and tags that are useful for learning facts about the geographical places and for detecting events occurring in these places. The knowledge obtained through our analysis carries an additional benefit. For example, it may also be utilized by local authorities, service providers, tourist agencies, in sociological and anthropological studies or for building user centric applications like tour recommender systems. We provide a conceptual foundation for the analysis of spatio-temporal data of places visited by people worldwide using community contributed geotagged photo collections. First, we define several types of spatio-temporal clusters of people’s visits. Second, we discuss methods that can be used for analysis of these clusters. Third, we offer an analysis of tourist activities in Switzerland based on a case study.</dcterms:abstract>
    <dc:language>eng</dc:language>
    <dc:contributor>Kisilevich, Slava</dc:contributor>
    <dcterms:issued>2013</dcterms:issued>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-03-30T08:38:50Z</dcterms:available>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-03-30T08:38:50Z</dc:date>
  </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