Hinkelmann, Knut

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Hinkelmann
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Knut
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Hinkelmann, Knut

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Gerade angezeigt 1 - 10 von 51
  • Publikation
    Digitalisierung in sozialen Organisationen – 'Managementdenken' in der Zerreissprobe?!
    (edition gesowip, 2019) Adam, Stefan; Kirchhofer, Roger; Bestgen, Sarah; Tschopp, Dominik; Verkuil, Arie Hans; Hinkelmann, Knut; Aeschbacher, Marc [in: Digitalisierung und andere Innovationsformen im Management – Aktuelle Perspektiven auf die digitale Transformation von Unternehmen und Lebenswelten]
    04 - Beitrag Sammelband oder Konferenzschrift
  • Publikation
    Customer Experience Modelling and Analysis Framework - A Semantic Lifting Approach for Analyzing Customer Experience
    (12.12.2016) Lammel, Benjamin; Korkut, Safak; Hinkelmann, Knut [in: Proceedings of the 6th International Conference on Innovation and Entrepreneurship : IE2016]
    04B - Beitrag Konferenzschrift
  • Publikation
    A Semantically-Enhanced Modelling Environment for Business Process as a Service
    (02.11.2016) Kurjakovic, Sabrina; Lammel, Benjamin; Laurenzi, Emanuele; Woitsch, Robert; Hinkelmann, Knut
    06 - Präsentation
  • Publikation
    A viewpoint-based case-based reasoning approach utilising an enterprise architecture ontology for experience management
    (Taylor & Francis, 28.03.2016) Martin, Andreas; Emmenegger, Sandro; Hinkelmann, Knut; Thönssen, Barbara [in: Enterprise Information Systems]
    The accessibility of project knowledge obtained from experiences is an important and crucial issue in enterprises. This information need about project knowledge can be different from one person to another depending on the different roles he or she has. Therefore, a new ontology-based case-based reasoning (OBCBR) approach that utilises an enterprise ontology is introduced in this article to improve the accessibility of this project knowledge. Utilising an enterprise ontology improves the case-based reasoning (CBR) system through the systematic inclusion of enterprise-specific knowledge. This enterprise-specific knowledge is captured using the overall structure given by the enterprise ontology named ArchiMEO, which is a partial ontological realisation of the enterprise architecture framework (EAF) ArchiMate. This ontological representation, containing historical cases and specific enterprise domain knowledge, is applied in a new OBCBR approach. To support the different information needs of different stakeholders, this OBCBR approach has been built in such a way that different views, viewpoints, concerns and stakeholders can be considered. This is realised using a case viewpoint model derived from the ISO/IEC/IEEE 42010 standard. The introduced approach was implemented as a demonstrator and evaluated using an application case that has been elicited from a business partner in the Swiss research project.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    A Modelling Environment for Business Process as a Service
    (Springer, 2016) Kurjakovic, Sabrina; Lammel, Benjamin; Woitsch, Robert; Kritikos, Kyriakos; Hinkelmann, Knut; Krogstie, John; Mouratidis, Haralambos; Su, Jianwen [in: Advanced Information Systems Engineering Workshops : CAiSE 2016]
    Business processes can benefit from cloud offerings, but bridging the gap between business requirements and technical solutions is still a big challenge. We propose Business Process as a Service (BPaaS) as a main concept for the alignment of business process with IT in the cloud. The mechanisms described in this paper provide modelling facilities for both business and IT levels: (a) a graphical modelling environment for processes, workflows and service requirements, (b) an extension of an enterprise ontology with cloud-specific concepts, (c) semantic lifting of graphical models and (d) SPARQL querying and inferencing for semantic alignment of business and cloud IT.
    04B - Beitrag Konferenzschrift
  • Publikation
    An Ontology-based and Case-based Reasoning supported Workplace Learning Approach
    (Springer, 2016) Emmenegger, Sandro; Thönssen, Barbara; Laurenzi, Emanuele; Martin, Andreas; Zhang Sprenger, Congyu; Hinkelmann, Knut; Witschel, Hans Friedrich [in: Communications in Computer and Information Science]
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    A Case Modelling Language for Process Variant Management in Case-based Reasoning
    (2015) Cognini, Riccardo; Hinkelmann, Knut; Martin, Andreas [in: AdaptiveCM 2015 – 4th International Workshop on Adaptive Case Management and other non-workflow approaches to BPM]
    04B - Beitrag Konferenzschrift
  • Publikation
    DMS - Dokumentenmanagement
    (BPX, 2014) Hinkelmann, Knut; Thönssen, Barbara
    02 - Monographie
  • Publikation
    Combining Bottom-Up and Top-Down Generation of Interactive Knowledge Maps for Enterprise Search
    (Springer, 2014) Hinkelmann, Knut; Kaufmann, Michael; Wilke, Gwendolin; Portmann, Edy; Buchmann, Robert; Kifor, Claudiu Vasile; Yu, Jian [in: Knowledge Science, Engineering and Management 7th International Conference KSEM 2014]
    04 - Beitrag Sammelband oder Konferenzschrift
  • Publikation
    Towards a Procedure for Assessing Supply Chain Risks Using Semantic Technology
    (Springer, 2013) Emmenegger, Sandro; Hinkelmann, Knut; Laurenzini, Emanuele; Thönssen, Barbara; Fred, Ana; Dietz, Jan L. G; Liu, Kecheng; Felipe, Joaquim [in: Knowledge Discovery, Knowledge Engineering and Knowledge Management]
    In the APPRIS project an Early-Warning-System (EWS) is developed applying semantic technologies, namely an enterprise ontology and an inference engine, for the assessment of procurement risks. Our approach allows for analyzing internal resources (e.g. ERP and CRM data) and external sources (e.g. entries in the Commercial Register and newspaper reports) to assess known risks, but also for identifying black swans, which hit enterprises with no warning but potentially large impact. For proof of concept we developed a prototype that allows for integrating data from various information sources, of various information types (structured and unstructured), and information quality (assured facts, news); automatic identification, validation and quantification of risks and aggregation of assessment results on several granularity levels. The motivating scenario is derived from three business project partners real requirements for an EWS.
    04B - Beitrag Konferenzschrift