Thönssen, Barbara
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Thönssen, Barbara
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- PublikationOntology-based metamodeling(Springer, 2018) Hinkelmann, Knut; Laurenzi, Emanuele; Martin, Andreas; Thönssen, Barbara; Dornberger, Rolf [in: Business information systems and technology 4.0. New trends in the age of digital change]Decision makers use models to understand and analyze a situation, to compare alternatives and to find solutions. Additionally, there are systems that support decision makers through data analysis, calculation or simulation. Typically, modeling languages for humans and machine are different from each other. While humans prefer graphical or textual models, machine-interpretable models have to be represented in a formal language. This chapter describes an approach to modeling that is both cognitively adequate for humans and processable by machines. In addition, the approach supports the creation and adaptation of domain-specific modeling languages. A metamodel which is represented as a formal ontology determines the semantics of the modeling language. To create a graphical modeling language, a graphical notation can be added for each class of the ontology. Every time a new modeling element is created during modeling, an instance for the corresponding class is created in the ontology. Thus, models for humans and machines are based on the same internal representation.04A - Beitrag Sammelband
- PublikationA 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
- PublikationModeling for learning in public administrations. The Learn PAd Approach(Springer, 2016) De Angelis, Guglielmo; Pierantonio, Alfonso; Polini, Andrea; Re, Barbara; Thönssen, Barbara; Woitsch, Robert; Karagiannis, Dimitris; Mayr, Heinrich C.; Mylopoulos, John [in: Domain-Specific Conceptual Modeling : Concepts, Methods and Tools]04 - Beitrag Sammelband oder Konferenzschrift
- PublikationAn 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
- PublikationBusiness Architecture for Process- Oriented Learning in Public Administration(2015) Silingas, Darius; Thönssen, Barbara; Pierantonio, Alfonso; Efendioglu, Nesat; Woitsch, Robert [in: Business and Dynamic Change: the Arrival of Business Architecture]04A - Beitrag Sammelband
- PublikationArchitectures for Business Processess in Organizations(2015) Thönssen, Barbara; Pierantonio, Alfonso; Silingas, Darius; Rosa, Gianni; Woitsch, Robert [in: Procs. Project Showcase (PS’15), Software Technologies: Applications and Foundations (STAF’15)]04B - Beitrag Konferenzschrift
- PublikationEPOs, an Early Warning System for Post-Merger IS Integration(Springer, 2015) Unkan, Erol; Thönssen, Barbara; Abramowicz, Witold [in: Business Information Systems. 18th International Conference, BIS 2015, Poznań, Poland, June 24-26, 2015, Proceedings]04B - Beitrag Konferenzschrift
- PublikationTowards an Agile Requirements Engineering Process combining HERMES 5 and SCRUM(2015) Schär, Birgit; Jüngling, Stephan; Thönssen, Barbara; Hinkelmann, Knut; Thönssen, Barbara [in: ES2015, Third International Conference on Enterprise Systems, Basel, 14-15 October 2015]04B - Beitrag Konferenzschrift
- PublikationDMS - Dokumentenmanagement(BPX, 2014) Hinkelmann, Knut; Thönssen, Barbara02 - Monographie
- PublikationTowards 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
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