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

Kreutz, Christin Katharina; Wolz, Michael; Schenkel, Ralf

doi:10.1007/978-3-030-34058-2_22

Cited by 3 publications

(2 citation statements)

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“…For simplicity, we refer to SchenQL including its GUI as the SchenQL system. SchenQL was developed to access bibliographic metadata textually, which resembles natural language for casual as well as expert users of digital libraries [21,22]. The fundamental idea is to hide complex syntax behind plain domain-specific vocabulary.…”

Section: Related Workmentioning

confidence: 99%

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

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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.

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Section: Related Workmentioning

confidence: 99%

“…To close this gap, we present the SchenQL Query Language, in short SchenQL 4 , for the domain of bibliographic metadata [21,22]. SchenQL is designed to be easily utilised by experts as well as casual users from the domain as it uses the vocabulary of digital libraries in its syntax.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2021

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

Kreutz

Wolz

Schenkel

2019

Digital Libraries at the Crossroads of Digital Information for the Future

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0000−0002−5075−7699] , Michael Wolz [0000−0002−9313−7131] , and Ralf Schenkel [0000−0001−5379−5191]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 domainspecific 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. A user study with computer scientists directly compared our query language to SQL and clearly demonstrated SchenQL's suitability and usefulness for given queries as well as users' acceptance.

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