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Titlebook: Business Information Systems Workshops; BIS 2018 Internation Witold Abramowicz,Adrian Paschke Conference proceedings 2019 Springer Nature S

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Using Business Process Modelling to Improve Student Recruitment in UK Higher EducationScience Research (DSR) methodology was used which entails learning through artefact production and data was collected from interviews, observation and document analysis. The logic of the clearing process was modelled using a process-oriented modelling technique. An ‘As Is’ clearing process model was
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Ontology Development Strategies in Industrial Contextste shared understanding of the domain. Ontologies are used as part of many knowledge-bases systems. The industrial context affects the process of ontology engineering in terms of business requirements and technical constraints. This paper presents a study of four industrial cases that included ontol
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Blockchain Backed DNSSEC1990. The Domain Name System Security Extensions (DNSSEC) attempted to address these concerns and extended the DNS protocol to add origin authentication and message integrity whilst remaining backwards compatible. Yet despite the fact that issues with DNS have been well known since the late 90s, the
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The Problem of Stereospecificity, alignment research. We integrate insights from organizational buying behaviour into enterprise architecture modeling. The result consists of a concept and web-based platform. It enables business users without expert knowledge in modeling to exploit the potential of enterprise architecture for cloud service selection.
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Stakeholder-Oriented and Enterprise Architecture Driven Cloud Service Selection alignment research. We integrate insights from organizational buying behaviour into enterprise architecture modeling. The result consists of a concept and web-based platform. It enables business users without expert knowledge in modeling to exploit the potential of enterprise architecture for cloud service selection.
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Ontology-Based Fragmented Company Knowledge Integration: Possible Approachesd in various business processes. Different options of designing ontologies covering multiple domains are considered. Three of them: (i) ontology localization/multilingual ontologies, (ii) granular ontologies, and (iii) ontologies with temporal logics are considered in details and analyzed.
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