My da|ra Login

Detailed view

metadata language: German English

Survey on Common Strategies regarding Vocabulary Reuse in Linked Open Data Modeling

show XML
DOI
https://doi.org/10.7802/64
Version
1
Resource Type
Dataset
Creator
  • Schaible, Johann (GESIS)
  • Gottron, Thomas (Web Science and Technologies, University of Koblenz-Landau)
  • Scherp, Ansgar (Kiel University and ZBW)
Publication Date
2014
Classification
  • ZA:
    • Technology, Energy
Description

  • Abstract

    The main contribution of the survey is to condense and aggregate the experience and knowledge of Linked Data experts and practitioners regarding the most common strategies to reuse vocabularies when modeling Linked Open Data in a real-world scenario.
Sampled Universe
Linked Data experts and practitioners
Collection Mode
    • Web-based interview
    • Web-based interview
Data and File Information
    • File Name: data_project_534597_2013_12_22.sav
      File Format: application/x-spss-sav
      File Size: 802806
      Data Fingerprint: a98a47b2927c30f44714edf796841f1f
      Method Fingerprint: MD5
    • File Name: data_project_534597_2013_12_22.sav
      File Format: application/x-spss-sav
      File Size: 802806
      Data Fingerprint: a98a47b2927c30f44714edf796841f1f
      Method Fingerprint: MD5
    • File Name: LODSurvey.pdf
      File Format: application/pdf
      File Size: 1455279
      Data Fingerprint: 40ebe8695bf9d28669c07059eba5fb16
      Method Fingerprint: MD5
    • File Name: LODSurvey.pdf
      File Format: application/pdf
      File Size: 1455279
      Data Fingerprint: 40ebe8695bf9d28669c07059eba5fb16
      Method Fingerprint: MD5
Availability
Download
Free Access (without Registration)

Update Metadata: 2019-10-01 | Issue Number: 8 | Registration Date: 2014-03-06

show XML

Schaible, Johann; Gottron, Thomas; Scherp, Ansgar (2014): Survey on Common Strategies regarding Vocabulary Reuse in Linked Open Data Modeling. Version: 1. GESIS Datenarchiv. Dataset. https://doi.org/10.7802/64