Artikel

SchenQL: in-depth analysis of a query language for bibliographic metadata

Information access to bibliographic metadata needs to be uncomplicated, as users may not benefit from complex and potentially richer data that may be difficult to obtain. Sophisticated research questions including complex aggregations could be answered with complex SQL queries. However, this comes with the cost of high complexity, which requires for a high level of expertise even for trained programmers. A domain-specific query language could provide a straightforward solution to this problem. Although less generic, it can support users not familiar with query construction in the formulation of complex information needs. In this paper, we present and evaluate SchenQL, a simple and applicable query language that is accompanied by a prototypical GUI. SchenQL focuses on querying bibliographic metadata using the vocabulary of domain experts. The easy-to-learn domain-specific query language is suitable for domain experts as well as casual users while still providing the possibility to answer complex information demands. Query construction and information exploration are supported by a prototypical GUI. We present an evaluation of the complete system: different variants for executing SchenQL queries are benchmarked; interviews with domain-experts and a bipartite quantitative user study demonstrate SchenQL’s suitability and high level of users’ acceptance.

Language
Englisch

Bibliographic citation
Journal: International Journal on Digital Libraries ; ISSN: 1432-1300 ; Volume: 23 ; Year: 2021 ; Issue: 2 ; Pages: 113-132 ; Berlin, Heidelberg: Springer

Classification
Allgemeines, Wissenschaft
Subject
Domain-specific query language
Bibliographic metadata
Digital libraries
Graphical user interface

Event
Geistige Schöpfung
(who)
Kreutz, Christin Katharina
Wolz, Michael
Knack, Jascha
Weyers, Benjamin
Schenkel, Ralf
Event
Veröffentlichung
(who)
Springer
(where)
Berlin, Heidelberg
(when)
2021

DOI
doi:10.1007/s00799-021-00317-8
Last update
10.03.2025, 11:44 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Kreutz, Christin Katharina
  • Wolz, Michael
  • Knack, Jascha
  • Weyers, Benjamin
  • Schenkel, Ralf
  • Springer

Time of origin

  • 2021

Other Objects (12)