Hinkelmann, Knut
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Reports of the AAAI 2019 Spring Symposium Series
2019, Baldini, Ioana, Barrett, Clark, Chella, Antonio, Cinelli, Carlos, Gamez, David, Gilpin, Leilani H., Hinkelmann, Knut, Holmes, Dylan, Kido, Takashi, Kocaoglu, Murat, Lawless, William F., Lomuscio, Alessio, Macbeth, Jamie C., Martin, Andreas, Mittu, Ranjeev, Patterson, Evan, Sofge, Donald, Tadepalli, Prasad, Takadama, Keiki, Wilson, Shomir
The AAAI 2019 Spring Series was held Monday through Wednesday, March 25–27, 2019 on the campus of Stanford University, adjacent to Palo Alto, California. The titles of the nine symposia were Artificial Intelligence, Autonomous Machines, and Human Awareness: User Interventions, Intuition and Mutually Constructed Context; Beyond Curve Fitting — Causation, Counterfactuals and Imagination-Based AI; Combining Machine Learning with Knowledge Engineering; Interpretable AI for Well-Being: Understanding Cognitive Bias and Social Embeddedness; Privacy- Enhancing Artificial Intelligence and Language Technologies; Story-Enabled Intelligence; Towards Artificial Intelligence for Collaborative Open Science; Towards Conscious AI Systems; and Verification of Neural Networks.
An Ontology-based and Case-based Reasoning supported Workplace Learning Approach
2016, Emmenegger, Sandro, Thönssen, Barbara, Laurenzi, Emanuele, Martin, Andreas, Zhang Sprenger, Congyu, Hinkelmann, Knut, Witschel, Hans Friedrich
Context-Aware, Proactive Delivery of Task-Specific Knowledge: The KnowMore Project
2000, Abecker, Andreas, Bernardi, Ansgar, Hinkelmann, Knut, Kühn, Otto, Sintek, Michael
A viewpoint-based case-based reasoning approach utilising an enterprise architecture ontology for experience management
2016-03-28, Martin, Andreas, Emmenegger, Sandro, Hinkelmann, Knut, Thönssen, Barbara
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.
Business and IT alignment: the IT-Socket
2009, Woitsch, Robert, Karagiannis, Dimitris, Plexousakis, Dimitris, Hinkelmann, Knut
A new paradigm for the continuous alignment of business and IT: combining enterprise architecture modelling and enterprise ontology
2016, Hinkelmann, Knut, Gerber, Aurona, Karagiannis, Dimitris, Thönssen, Barbara, van der Merwe, Alta, Woitsch, Robert
The paper deals with Next Generation Enterprise Information Systems in the context of Enterprise Engineering. The continuous alignment of business and IT in a rapidly changing environment is a grand challenge for today’s enterprises. The ability to react timeously to continuous and unexpected change is called agility and is an essential quality of the modern enterprise. Being agile has consequences for the engineering of enterprises and enterprise information systems. In this paper a new paradigm for next generation enterprise information systems is proposed, which shifts the development approach of model-driven engineering to continuous alignment of business and IT for the agile enterprise. It is based on a metamodelling approach, which supports both human-interpretable graphical enterprise architecture and machine-interpretable enterprise ontologies. Furthermore, next generation enterprise information systems are described, which embed modelling tools and algorithms for model analysis.
Business an IT alignment: the IT-Socket
2009, Woitsch, Robert, Karagiannis, Dimitris, Plexousakis, Dimitris, Hinkelmann, Knut