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Publikationstyp: Beitrag in wissenschaftlicher Zeitschrift
Art der Begutachtung: Peer review (Publikation)
Titel: A comparative survey of recent natural language interfaces for databases
Autor/-in: Affolter, Katrin
Stockinger, Kurt
Bernstein, Abraham
et. al: No
DOI: 10.1007/s00778-019-00567-8
10.21256/zhaw-18074
Erschienen in: The VLDB Journal
Erscheinungsdatum: 28-Aug-2019
Verlag / Hrsg. Institution: Springer
ISSN: 1066-8888
0949-877X
Sprache: Englisch
Schlagwörter: Natural language interfaces; Query processing·; Survey; Database research
Fachgebiet (DDC): 005: Computerprogrammierung, Programme und Daten
Zusammenfassung: Over the last few years, natural language interfaces (NLI) for databases have gained significant traction both in academia and industry. These systems use very different approaches as described in recent survey papers. However, these systems have not been systematically compared against a set of benchmark questions in order to rigorously evaluate their functionalities and expressive power. In this paper, we give an overview over 24 recently developed NLIs for databases. Each of the systems is evaluated using a curated list of ten sample questions to show their strengths and weaknesses. We categorize the NLIs into four groups based on the methodology they are using: keyword-, pattern-, parsing- and grammar-based NLI. Overall, we learned that keyword-based systems are enough to answer simple questions. To solve more complex questions involving subqueries, the system needs to apply some sort of parsing to identify structural dependencies. Grammar-based systems are overall the most powerful ones, but are highly dependent on their manually designed rules. In addition to providing a systematic analysis of the major systems, we derive lessons learned that are vital for designing NLIs that can answer a wide range of user questions.
URI: https://digitalcollection.zhaw.ch/handle/11475/18074
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): CC BY 4.0: Namensnennung 4.0 International
Departement: School of Engineering
Organisationseinheit: Institut für Angewandte Informationstechnologie (InIT)
Publiziert im Rahmen des ZHAW-Projekts: NatalieDB: Natural Language Interface for Databases
Enthalten in den Sammlungen:Publikationen School of Engineering

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