A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos
A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos
Loading...
Date
2010
Authors
Editors
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
URI (citable link)
DOI (citable link)
International patent number
Link to the license
EU project number
Project
Open Access publication
Collections
Title in another language
Publication type
Contribution to a conference collection
Publication status
Published in
Geospatial Thinking / Painho, Marco; Santos, Maribel Yasmina; Pundt, Hardy (ed.). - Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. - (Lecture Notes in Geoinformation and Cartography ; 0). - pp. 163-182. - ISBN 978-3-642-12325-2
Abstract
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 GuimarĂ£es, Portugal (where the conference takes place) and Berlin, Germany demonstrate the capabilities of the proposed 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 GuimarĂ£es, Portugal (where the conference takes place) and Berlin, Germany demonstrate the capabilities of the proposed framework.
Summary in another language
Subject (DDC)
550 Geosciences
Keywords
sequence mining,trajectories,sequence patterns
Conference
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690
KISILEVICH, 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, pp. 163-182. ISBN 978-3-642-12325-2. Available under: doi: 10.1007/978-3-642-12326-9_9BibTex
@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<br /><br />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<br /><br />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 GuimarĂ£es, 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>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Examination date of dissertation
Method of financing
Comment on publication
Alliance license
Corresponding Authors der Uni Konstanz vorhanden
International Co-Authors
Bibliography of Konstanz
Yes