Comparative Exploration of Document Collections : a Visual Analytics Approach

Lade...
Vorschaubild
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2014
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
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
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Computer Graphics Forum. 2014, 33(3), pp. 201-210. ISSN 0167-7055. eISSN 1467-8659. Available under: doi: 10.1111/cgf.12376
Zusammenfassung

We present an analysis and visualization method for computing what distinguishes a given document collection from others. We determine topics that discriminate a subset of collections from the remaining ones by applying probabilistic topic modeling and subsequently approximating the two relevant criteria distinctiveness and characteristicness algorithmically through a set of heuristics. Furthermore, we suggest a novel visualization method called DiTop-View, in which topics are represented by glyphs (topic coins) that are arranged on a 2D plane. Topic coins are designed to encode all information necessary for performing comparative analyses such as the class membership of a topic, its most probable terms and the discriminative relations. We evaluate our topic analysis using statistical measures and a small user experiment and present an expert case study with researchers from political sciences analyzing two real-world datasets.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690OELKE, Daniela, Hendrik STROBELT, Christian ROHRDANTZ, Iryna GUREVYCH, Oliver DEUSSEN, 2014. Comparative Exploration of Document Collections : a Visual Analytics Approach. In: Computer Graphics Forum. 2014, 33(3), pp. 201-210. ISSN 0167-7055. eISSN 1467-8659. Available under: doi: 10.1111/cgf.12376
BibTex
@article{Oelke2014Compa-29163,
  year={2014},
  doi={10.1111/cgf.12376},
  title={Comparative Exploration of Document Collections : a Visual Analytics Approach},
  number={3},
  volume={33},
  issn={0167-7055},
  journal={Computer Graphics Forum},
  pages={201--210},
  author={Oelke, Daniela and Strobelt, Hendrik and Rohrdantz, Christian and Gurevych, Iryna and Deussen, Oliver}
}
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/123456789/29163">
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/29163"/>
    <dc:creator>Strobelt, Hendrik</dc:creator>
    <dcterms:issued>2014</dcterms:issued>
    <dc:creator>Deussen, Oliver</dc:creator>
    <dc:contributor>Strobelt, Hendrik</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Gurevych, Iryna</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:title>Comparative Exploration of Document Collections : a Visual Analytics Approach</dcterms:title>
    <dcterms:bibliographicCitation>Computer Graphics Forum, 33 (2014), 3. - S.</dcterms:bibliographicCitation>
    <dc:contributor>Rohrdantz, Christian</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-10-22T09:57:37Z</dcterms:available>
    <dc:contributor>Deussen, Oliver</dc:contributor>
    <dc:language>eng</dc:language>
    <dcterms:abstract xml:lang="eng">We present an analysis and visualization method for computing what distinguishes a given document collection from others. We determine topics that discriminate a subset of collections from the remaining ones by applying probabilistic topic modeling and subsequently approximating the two relevant criteria distinctiveness and characteristicness algorithmically through a set of heuristics. Furthermore, we suggest a novel visualization method called DiTop-View, in which topics are represented by glyphs (topic coins) that are arranged on a 2D plane. Topic coins are designed to encode all information necessary for performing comparative analyses such as the class membership of a topic, its most probable terms and the discriminative relations. We evaluate our topic analysis using statistical measures and a small user  experiment and present an expert case study with researchers from political sciences analyzing two real-world datasets.</dcterms:abstract>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/29163/3/Oelke_0-253295.pdf"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-10-22T09:57:37Z</dc:date>
    <dc:creator>Gurevych, Iryna</dc:creator>
    <dc:creator>Rohrdantz, Christian</dc:creator>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:contributor>Oelke, Daniela</dc:contributor>
    <dc:creator>Oelke, Daniela</dc:creator>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/29163/3/Oelke_0-253295.pdf"/>
  </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