TY - CHAP A1 - Schmitt, Ingo A2 - Aerts, Diederik A2 - Khrennikov, Andrei A2 - Melucci, Massimo A2 - Bourama, Toni T1 - Incorporating Weights into a Quantum-Logic-Based Query Language T2 - Quantum-Like Models for Information Retrieval and Decision-Making N2 - 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. KW - Weights KW - Database query language KW - Information retrieval KW - DB&IR Y1 - 2022 UR - https://opus4.kobv.de/opus4-UBICO/frontdoor/index/index/docId/28704 UR - https://www.springer.com/de/book/9783030259129 SN - 978-3-030-25912-9 SN - 978-3-030-25913-6 SN - 2520-1948 SP - 129 EP - 143 PB - Springer Nature Switzerland AG, Springer International Publishing CY - Cham ER -