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Incorporating Weights into a Quantum-Logic-Based Query Language

  • Traditional database query languages are based on set theory and crisp first order logic. However, many applications require imprecise conditions which return result objects associated with a degree of fulfillment. For example, a research paper should be reviewed by giving a degree of fulfillment for originality and relevance. Very often, imprecise conditions of a query are of different importance. Thus, a query language should allow the user to give conditions different weights. This paper proposes a weighting approach which is realized by means of conjunction, disjunction, and negation. Thus, our weighting is completely embedded within a logic. As a result, logical rules are preserved and can be used for query reformulation and optimization. As underlying logic-based query language, we use the CQQL query language. Furthermore we demonstrate that our weighting approach is applicable to further logic-based query languages.

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Metadaten
Author: Ingo SchmittORCiDGND
URL:https://www.springer.com/de/book/9783030259129
DOI:https://doi.org/10.1007/978-3-030-25913-6_7
ISBN:978-3-030-25912-9
ISBN:978-3-030-25913-6
ISSN:2520-1948
Title of the source (English):Quantum-Like Models for Information Retrieval and Decision-Making
Publisher:Springer Nature Switzerland AG, Springer International Publishing
Place of publication:Cham
Editor: Diederik Aerts, Andrei Khrennikov, Massimo Melucci, Toni Bourama
Document Type:Part of a book (chapter)
Language:English
Year of publication:2019
Tag:DB&IR; Database query language; Information retrieval; Weights
Edition:1. Auflage
First Page:129
Last Page:143
Series ; volume number:STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
Faculty/Chair:Fakultät 1 MINT - Mathematik, Informatik, Physik, Elektro- und Informationstechnik / FG Datenbank- und Informationssysteme
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