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SchenQL: A Concept of a Domain-Specific Query Language on Bibliographic Metadata

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Digital Libraries at the Crossroads of Digital Information for the Future (ICADL 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11853))

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Abstract

Information access needs to be uncomplicated, users rather use incorrect data which is easily received than correct information which is harder to obtain. Querying bibliographic metadata from digital libraries mainly supports simple textual queries. A user’s demand for answering more sophisticated queries could be fulfilled by the usage of SQL. As such means are highly complex and challenging even for trained programmers, a domain-specific query language is needed to provide a straightforward way to access data.

In this paper we present SchenQL, a simple query language focused on bibliographic metadata in the area of computer science while using the vocabulary of domain-experts. By facilitating a plain syntax and fundamental aggregate functions, we propose an easy-to-learn domain-specific query language capable of search and exploration. It is suitable for domain-experts as well as casual users while still providing the possibility to answer complicated queries.

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Author information

Authors and Affiliations

  1. Trier University, 54286, Trier, Germany

    Christin Katharina Kreutz, Michael Wolz & Ralf Schenkel

Authors
  1. Christin Katharina Kreutz
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  2. Michael Wolz
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  3. Ralf Schenkel
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Corresponding author

Correspondence to Christin Katharina Kreutz .

Editor information

Editors and Affiliations

  1. Kyoto University, Kyoto, Japan

    Adam Jatowt

  2. Ritsumeikan University, Kusatsu, Japan

    Akira Maeda

  3. The Catholic University of America, Washington, DC, USA

    Sue Yeon Syn

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Kreutz, C.K., Wolz, M., Schenkel, R. (2019). SchenQL: A Concept of a Domain-Specific Query Language on Bibliographic Metadata. In: Jatowt, A., Maeda, A., Syn, S. (eds) Digital Libraries at the Crossroads of Digital Information for the Future. ICADL 2019. Lecture Notes in Computer Science(), vol 11853. Springer, Cham. https://doi.org/10.1007/978-3-030-34058-2_22

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  • DOI: https://doi.org/10.1007/978-3-030-34058-2_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34057-5

  • Online ISBN: 978-3-030-34058-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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