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Titlebook: Business Modeling and Software Design; 12th International S Boris Shishkov Conference proceedings 2022 Springer Nature Switzerland AG 2022

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https://doi.org/10.1007/978-3-658-33391-1ined concepts. This is particularly crucial for sensitive tasks such as in medical diagnostics or for safety-criticial applications. In this paper, we propose an architecture for the decentralized attestation and verification of the integrity and validity of ontologies using blockchain technologies.
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,Gesundheit als Führungsaufgabe,in an enterprise is one of the most important techniques in the digital society. They help to enable decision making in the design of processes and workflows. Nevertheless it is not easy to correctly model business processes. Some approaches try to detect errors by an automated analysis of the proce
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,Einschränkungen der Gesundheit,ying augmented reality in enterprise modeling. Despite these first steps, a systematic analysis of the potential opportunities of this technology for enterprise modeling has so far not been conducted. Therefore, we describe in this paper the results of a morphological analysis that has been performe
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https://doi.org/10.1007/978-3-662-66301-1cases, the sensor-driven extraction of context information is done counting on pre-defined rules that concern Boolean expressions directly referring to data values for the sake of evaluating the user situation. Further, sensors would be of limited use when considering context indicators (such as int
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Mediation in Collective Labor Conflictsbility, and innovation. OGDP is becoming a strategic program for citizen engagement and empowering users. Nevertheless, many OGDP architectures focus merely on publishing data and do not support the actual data use. Therefore, this paper aims to develop a reference architecture (RA) that takes a bro
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https://doi.org/10.1007/978-3-031-11510-3artificial intelligence; Business Process Management (BPM); communication systems; computer hardware; co
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978-3-031-11509-7Springer Nature Switzerland AG 2022
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Rapid Prototyping of Business Rule-Based Systems with Controlled Natural Language and Semantic Web Stems. This helps system developers quickly demonstrate design choices to stakeholders. CNLs provide a balance between understandability for laypersons and unambiguous specificity for programmers. Executable CNLs generate rudimentary systems automatically and thus quickly, which suits rapid prototypi
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