Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-18074
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dc.contributor.authorAffolter, Katrin-
dc.contributor.authorStockinger, Kurt-
dc.contributor.authorBernstein, Abraham-
dc.date.accessioned2019-09-05T08:16:53Z-
dc.date.available2019-09-05T08:16:53Z-
dc.date.issued2019-08-28-
dc.identifier.issn1066-8888de_CH
dc.identifier.issn0949-877Xde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/18074-
dc.description.abstractOver 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.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofThe VLDB Journalde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectNatural language interfacesde_CH
dc.subjectQuery processing·de_CH
dc.subjectSurveyde_CH
dc.subjectDatabase researchde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleA comparative survey of recent natural language interfaces for databasesde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Informationstechnologie (InIT)de_CH
dc.identifier.doi10.1007/s00778-019-00567-8de_CH
dc.identifier.doi10.21256/zhaw-18074-
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedInformation Engineeringde_CH
zhaw.funding.zhawNatalieDB: Natural Language Interface for Databasesde_CH
zhaw.author.additionalNode_CH
Appears in collections:Publikationen School of Engineering

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