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Linked scientometrics: Designing interactive scientometrics with linked data and semantic web reasoning

  • Grant McKenzie
  • , Krzysztof Janowicz
  • , Yingjie Hu
  • , Kunal Sengupta
  • , Pascal Hitzler
  • University of California at Santa Barbara
  • Wright State University

Research output: Contribution to journalConference articlepeer-review

Abstract

In this demo paper we introduce a Linked Data-driven, Semantically-enabled Journal Portal (SEJP) that offers a variety of interactive scientometrics modules. SEJP allows editors, reviewers, authors, and readers to explore and analyze (meta)data published by a journal. Besides Linked Data created from the journal's internal data, SEJP also links out to other sources and includes them to develop more powerful modules. These modules range from simple descriptive statistics, over the spatial analysis of visitors and authors, to topic trending modules. While SEJP will be available for multiple journals, this paper shows its deployment to the Semantic Web journal by IOS Press. Due to its open & transparent review process, SWJ offers a wide variety of additional in- formation, e.g., about reviewers, editors, paper decisions, and so forth.

Original languageEnglish
Pages (from-to)53-56
Number of pages4
JournalCEUR Workshop Proceedings
Volume1035
StatePublished - 2013
Event12th International Semantic Web Conference, ISWC 2013 - Sydney, Australia
Duration: Oct 23 2013 → …

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