TY - CHAP A1 - Schmitt, Ingo A1 - Wirsching, Günther A1 - Wolff, Matthias ED - Khrennikov, Andrei ED - Melucci, Massimo ED - Bourama, Toni T1 - Quantum-Based Modelling of Database States T2 - Quantum-Like Models for Information Retrieval and Decision-Making Y1 - 2019 UR - https://www.springer.com/de/book/9783030259129 SN - 978-3-030-25912-9 SN - 978-3-030-25913-6 U6 - https://doi.org/10.1007/978-3-030-25913-6 SP - 115 EP - 127 PB - Springer Nature Switzerland AG, Springer International Publishing CY - Cham ET - 1. Auflage ER - TY - GEN A1 - Römer, Ronald A1 - beim Graben, Peter A1 - Huber, Markus A1 - Wolff, Matthias A1 - Wirsching, Günther A1 - Schmitt, Ingo T1 - Behavioral Control of Cognitive Agents Using Database Semantics and Minimalist Grammars T2 - Proceedings 10th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2019, Oct. 23-25 Y1 - 2019 SN - 978-1-7281-4793-2 SN - 978-1-7281-4792-5 U6 - https://doi.org/10.1109/CogInfoCom47531.2019.9089947 SN - 2380-7350 SP - 73 EP - 78 CY - Naples, Italy ER - TY - CHAP A1 - Schmitt, Ingo ED - Aerts, Diederik ED - Khrennikov, Andrei ED - Melucci, Massimo ED - 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 - 2019 UR - https://www.springer.com/de/book/9783030259129 SN - 978-3-030-25912-9 SN - 978-3-030-25913-6 U6 - https://doi.org/10.1007/978-3-030-25913-6_7 SN - 2520-1948 SP - 129 EP - 143 PB - Springer Nature Switzerland AG, Springer International Publishing CY - Cham ET - 1. Auflage ER -