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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-20042
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dc.contributor.authorNadig, Stefanie-
dc.contributor.authorBraschler, Martin-
dc.contributor.authorStockinger, Kurt-
dc.date.accessioned2020-05-25T08:39:47Z-
dc.date.available2020-05-25T08:39:47Z-
dc.date.issued2020-05-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/20042-
dc.description.abstractThe traditional approach of querying a relational database is via a formal language, namely SQL. Recent developments in the design of natural language interfaces to databases show promising results for querying either with keywords or with full natural language queries and thus render relational databases more accessible to non-tech savvy users. Such enhanced relational databases basically use a search paradigm which is commonly used in the field of information retrieval. However, the way systems are evaluated in the database and the information retrieval communities often differs due to a lack of common benchmarks. In this paper, we provide an adapted benchmark data set that is based on a test collection originally used to evaluate information retrieval systems. The data set contains 45 information needs developed on the Internet Movie Database (IMDb), including corresponding relevance assessments. By mapping this benchmark data set to a relational database schema, we enable a novel way of directly comparing database search techniques with information retrieval. To demonstrate the feasibility of our approach, we present an experimental evaluation that compares SODA, a keyword-enabled relational database system, against the Terrier information retrieval system and thus lays the foundation for a future discussion of evaluating database systems that support natural language interfaces.de_CH
dc.language.isoende_CH
dc.publisherEuropean Language Resources Associationde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectDatabase searchde_CH
dc.subjectInformation retrievalde_CH
dc.subjectBenchmark data setde_CH
dc.subjectQuery evaluationde_CH
dc.subjectRelevance assessmentde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.subject.ddc020: Bibliotheks- und Informationswissenschaftde_CH
dc.titleDatabase search vs. information retrieval : a novel method for studying natural language querying of semi-structured datade_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.21256/zhaw-20042-
zhaw.conference.details12th Language Resources and Evaluation Conference (LREC) 2020de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the 12th LRECde_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedInformation Engineeringde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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Nadig, S., Braschler, M., & Stockinger, K. (2020, May). Database search vs. information retrieval : a novel method for studying natural language querying of semi-structured data. Proceedings of the 12th LREC. https://doi.org/10.21256/zhaw-20042
Nadig, S., Braschler, M. and Stockinger, K. (2020) ‘Database search vs. information retrieval : a novel method for studying natural language querying of semi-structured data’, in Proceedings of the 12th LREC. European Language Resources Association. Available at: https://doi.org/10.21256/zhaw-20042.
S. Nadig, M. Braschler, and K. Stockinger, “Database search vs. information retrieval : a novel method for studying natural language querying of semi-structured data,” in Proceedings of the 12th LREC, May 2020. doi: 10.21256/zhaw-20042.
NADIG, Stefanie, Martin BRASCHLER und Kurt STOCKINGER, 2020. Database search vs. information retrieval : a novel method for studying natural language querying of semi-structured data. In: Proceedings of the 12th LREC. Conference paper. European Language Resources Association. Mai 2020
Nadig, Stefanie, Martin Braschler, and Kurt Stockinger. 2020. “Database Search vs. Information Retrieval : A Novel Method for Studying Natural Language Querying of Semi-Structured Data.” Conference paper. In Proceedings of the 12th LREC. European Language Resources Association. https://doi.org/10.21256/zhaw-20042.
Nadig, Stefanie, et al. “Database Search vs. Information Retrieval : A Novel Method for Studying Natural Language Querying of Semi-Structured Data.” Proceedings of the 12th LREC, European Language Resources Association, 2020, https://doi.org/10.21256/zhaw-20042.


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