Analysis of Scientific Literature of LDOW Workshops: A Scientometric and NLP approach

  1. Rajabi, Enayat ORCID logo
  2. Kanuri, Sravani ORCID logo
  3. Shekarpour, Saeedeh ORCID logo

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Scientometric_analysis_of_LDOW_workshop.pdf 369,16KB
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1000 Titel
  • Analysis of Scientific Literature of LDOW Workshops: A Scientometric and NLP approach
1000 Autor/in
  1. Rajabi, Enayat |
  2. Kanuri, Sravani |
  3. Shekarpour, Saeedeh |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Kongressschrift |
1000 Online veröffentlicht
  • 2021-11-02
1000 Erschienen in
1000 Quellenangabe
  • p. 1-10
1000 Übergeordneter Kongress
1000 Lizenz
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • This paper contributes to compiling and publishing a structured dataset from the scientific literature of the Linked Data on the Web (LDOW) workshop series. This workshop was the primary venue for publishing the frontier topics related to Semantic Web, Linked Open Data, and Web of Data for around ten years. Further, we analyze this dataset using a scientometric approach and n-gram analysis. We apply an n-gram analysis of all the presented titles and abstracts of the dataset to learn the evolving topics discourse. Our analysis reveals interesting patterns over the evolution of the concerning topics in the community of Linked Open Data. We publish this dataset online 3 under GNU General Public License v3.0.
1000 Sacherschließung
lokal RDF Dataset
lokal n-gram analysis
lokal Scientometric analysis
lokal Topic discourse
lokal Literature from LDOW workshop series
1000 Fächerklassifikation (DDC)
1000 DOI 10.4126/FRL01-006429416 |
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-9557-0043|https://orcid.org/0000-0002-5609-5251|https://orcid.org/0000-0002-3579-9401
1000 Label
1000 Förderer
  1. Natural Sciences and Engineering Research Council of Canada |
1000 Fördernummer
  1. RGPIN-2020- 05869
1000 Förderprogramm
  1. Discovery Grant
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Natural Sciences and Engineering Research Council of Canada |
    1000 Förderprogramm Discovery Grant
    1000 Fördernummer RGPIN-2020- 05869
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6429416.rdf
1000 Erstellt am 2021-09-20T09:02:21.311+0200
1000 Erstellt von 25
1000 beschreibt frl:6429416
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet 2022-01-14T07:05:29.105+0100
1000 Objekt bearb. Fri Jan 14 07:05:26 CET 2022
1000 Vgl. frl:6429416
1000 Oai Id
  1. oai:frl.publisso.de:frl:6429416 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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