@incollection{Schmitt, author = {Schmitt, Ingo}, title = {Incorporating Weights into a Quantum-Logic-Based Query Language}, series = {Quantum-Like Models for Information Retrieval and Decision-Making}, booktitle = {Quantum-Like Models for Information Retrieval and Decision-Making}, editor = {Aerts, Diederik and Khrennikov, Andrei and Melucci, Massimo and Bourama, Toni}, edition = {1. Auflage}, publisher = {Springer Nature Switzerland AG, Springer International Publishing}, address = {Cham}, isbn = {978-3-030-25912-9}, issn = {2520-1948}, doi = {10.1007/978-3-030-25913-6_7}, pages = {129 -- 143}, abstract = {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.}, language = {en} }