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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.
Verfasserangaben: | Ingo SchmittORCiDGND |
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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 |
Titel der Quelle (Englisch): | Quantum-Like Models for Information Retrieval and Decision-Making |
Verlag: | Springer Nature Switzerland AG, Springer International Publishing |
Verlagsort: | Cham |
Herausgeber*in: | Diederik Aerts, Andrei Khrennikov, Massimo Melucci, Toni Bourama |
Dokumentart: | Teil eines Buches (Kapitel) |
Sprache: | Englisch |
Erscheinungsjahr: | 2019 |
Freies Schlagwort / Tag: | DB&IR; Database query language; Information retrieval; Weights |
Auflage: | 1. Auflage |
Erste Seite: | 129 |
Letzte Seite: | 143 |
Schriftenreihe ; Bandnummer: | STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health |
Fakultät / Fachgebiet: | Fakultät 1 MINT - Mathematik, Informatik, Physik, Elektro- und Informationstechnik / FG Datenbank- und Informationssysteme |