BPMNData warehousingExtraction, transformation, and loading (ETL) processes are used to extract data from internal and external sources of an organization, transform these data, and load them into a data warehouse. The...doi:10.1007/978-3-030-27520-4_21Awiti, JudithUniversité Libre de BruxellesVaisman, AlejandroInstituto Tecnológi...
in the spirit of equating theories with categories and models with certain (“logical”) functors. We contend that much of logic (model theory) can and should be expressed this way. On the other hand, we freely use methods tied to the concrete “presentations”, i.e., to primitive symbols...
2.This paper introduces thelogical relations of the elements, and discusses about the roles of each element in HSE management system.阐述了HSE管理体系要素间的逻辑关系,剖析了HSE管理体系各要素在体系中的作用。 3.Objective To discuss thelogical relationin concept transition of syndrome manifestations in ...
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In short, Boolean semantics provides the tools to represent the distinction between what is known and what is not known to an agent about a specific event of interest. We thus identify events, the bearers of probability, with the elements θ,ϕθ,ϕ , etc. of the set of sentences ...
We take terms to be equal up to permutation of elements in multisets. The constructor in( ) is introduced in order to obtain a typing system in which the shape of the type determines the form of the terms typable with that type (see De nition 1.4 and Lemma 1.5 below). In the syntax...
sets that allow for duplicate occurrences of identical elements. The analysis is couched in Hybrid Type-Logical Categorial Grammar. The flexible syntax-semantics interface of this framework enables an analysis of ‘respective’ readings and related phenomena which, for the first time in the literature...
Furthermore, FOIL methods commonly rely on the availability of negative examples, yet the open-world assumption (OWA) prevalent in KGs renders the use of missing data as negative examples unfeasible. 3.2. Association Rule Mining-Based KGR To overcome the limitations of the FOIL-based methods, ...
While cutting-edge AI technologies have been focused on machine learning from big data for commercial applications, they came short of reaching logically definable causality and mind–light–matter unity for entangled, quantum–digital compatible, and analytical machine thinking for QI [6]. Notably, ...
Based on Equations (1a–c) and (2a–c), M(t) forms a bipolar entropy matrix—a bipolar relational or algebraic matrix of bipolar entropy elements that makes the bipolar energy vector E(t) a regulated quantum entanglement. Different from unipolar entropy, bipolar entropy matrix as a holistic ...