Publikation:

Enhanced News-reading : Interactive and Visual Integration of Social Media Information

Lade...
Vorschaubild

Dateien

Stoffel_0-267434.pdf
Stoffel_0-267434.pdfGröße: 438.52 KBDownloads: 529

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

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

NICOLETTA CALZOLARI ..., , ed.. Proceedings of LREC 2014 : Ninth International Conference on Language Resources and Evaluation : May 26-31, 2014, Reykjavik, Iceland ; VisLR workshop : visualization as added value in the development, use and evaluation of Language Resources. European Language Resources Association (ELRA), 2014, pp. 21-28

Zusammenfassung

Today, everyone has the possibility to acquire additional information sources as supplement to articles from newspapers or online news. The limitations of classical newspaper articles and restrictions of additional materials on online newsportals often lead to the situation where the reader demands additional news sources and more detailed information. When using the Internet, exploiting new information sources is a trivial task. Besides professionally administered information sources, like for example large newsportals such as cnn.com, there is a growing amount of user generated content available. Services like Twitter, Facebook or Reddit allow free discussion of any subject, giving everyone the possibility to participate. In this paper, we demonstrate an approach that combines professionally generated news content with user-generated data. This approach effectively enriches the information landscape and broadens the context of a given subject. For the presented system, we focus on Reddit, one of the biggest web portals for user-generated contents. Taking the general nature of user generated content into account, we exploit metadata and apply Natural Language Processing (NLP) methods to allow users to filter additional information, which is also supported visually.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Challenges in visualizing language data, Visualizations for language resources, Visualization infrastructures / visualization components

Konferenz

LREC 2014, Ninth International Conference on Language Resources and Evaluation Conference, 26. Mai 2014 - 31. Mai 2014, Reykjavik, Iceland
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Verknüpfte Datensätze

Zitieren

ISO 690STOFFEL, Florian, Dominik JÄCKLE, Daniel A. KEIM, 2014. Enhanced News-reading : Interactive and Visual Integration of Social Media Information. LREC 2014, Ninth International Conference on Language Resources and Evaluation Conference. Reykjavik, Iceland, 26. Mai 2014 - 31. Mai 2014. In: NICOLETTA CALZOLARI ..., , ed.. Proceedings of LREC 2014 : Ninth International Conference on Language Resources and Evaluation : May 26-31, 2014, Reykjavik, Iceland ; VisLR workshop : visualization as added value in the development, use and evaluation of Language Resources. European Language Resources Association (ELRA), 2014, pp. 21-28
BibTex
@inproceedings{Stoffel2014Enhan-29999,
  year={2014},
  title={Enhanced News-reading : Interactive and Visual Integration of Social Media Information},
  url={http://www.lrec-conf.org/proceedings/lrec2014/workshops/LREC2014Workshop-VisLR%20Proceedings.pdf#page=26},
  publisher={European Language Resources Association (ELRA)},
  booktitle={Proceedings of LREC 2014 : Ninth International Conference on Language Resources and Evaluation : May 26-31, 2014, Reykjavik, Iceland ; VisLR workshop : visualization as added value in the development, use and evaluation of Language Resources},
  pages={21--28},
  editor={Nicoletta Calzolari ...},
  author={Stoffel, Florian and Jäckle, Dominik and Keim, Daniel A.}
}
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/123456789/29999">
    <dcterms:abstract xml:lang="eng">Today, everyone has the possibility to acquire additional information sources as supplement to articles from newspapers or online news. The limitations of classical newspaper articles and restrictions of additional materials on online newsportals often lead to the situation where the reader demands additional news sources and more detailed information. When using the Internet, exploiting new information sources is a trivial task. Besides professionally administered information sources, like for example large newsportals such as cnn.com, there is a growing amount of user generated content available. Services like Twitter, Facebook or Reddit allow free discussion of any subject, giving everyone the possibility to participate. In this paper, we demonstrate an approach that combines professionally generated news content with user-generated data. This approach effectively enriches the information landscape and broadens the context of a given subject. For the presented system, we focus on Reddit, one of the biggest web portals for user-generated contents. Taking the general nature of user generated content into account, we exploit metadata and apply Natural Language Processing (NLP) methods to allow users to filter additional information, which is also supported visually.</dcterms:abstract>
    <dc:contributor>Jäckle, Dominik</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Jäckle, Dominik</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-02-24T12:50:38Z</dcterms:available>
    <dc:language>eng</dc:language>
    <dc:contributor>Stoffel, Florian</dc:contributor>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/29999"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-02-24T12:50:38Z</dc:date>
    <dcterms:title>Enhanced News-reading : Interactive and Visual Integration of Social Media Information</dcterms:title>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:issued>2014</dcterms:issued>
    <dc:creator>Stoffel, Florian</dc:creator>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/29999/1/Stoffel_0-267434.pdf"/>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/29999/1/Stoffel_0-267434.pdf"/>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

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

Kontakt

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

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