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Browse by Lectorate "Model-based Information Systems"
Now showing items 51-66 of 66
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Children, Co-creation and Content Generating AI’s Towards an understanding of co-creating with children and content generating AI’s 2022, Article in monograph or in proceedings (NordiCHI workshop - Age against the machine: A Call for Designing Ethical AI for and with Children)With the development of content-generating Artificial Intelligence (AI) systems, such as generating images from a textual description, new possibilities for using such system in design processes arise. In this position paper, we argue that we need to explicitly incorporate children's values when we develop design methods that incorporate content-generating AI to protect their creative processes. In a mini-inquiry we find that children from different ages have articulate ideas about being in the same design space as a content-generating AI’s. They share concerns about fidelity, transparency and how it changes the level-playing field for them. To setup a safe and ethical design space when co-creating with children we foresee three important steps: 1) explore the value of children with respect to content-generation AI. 2) improve the accessibility of these systems for children and 3) study the effect of using such a system on creativity and innovation in a design process. -
Challenges of Identifying Communities with Shared Semantics in Enterprise Modeling 2012, Article / Letter to editor (The Practice of Enterprise Modeling, vol. 2012, iss. 134, (2012), pp. 160-171)In this paper we discuss the use and challenges of identifying communities with shared semantics in Enterprise Modeling. People tend to understand modeling meta-concepts (i.e., a modeling language’s constructs or types) in a certain way and can be grouped by this understanding. Having an insight into the typical communities and their composition (e.g., what kind of people constitute a semantic community) would make it easier to predict how a conceptual modeler with a certain background will generally understand the meta-concepts he uses, which is useful for e.g., validating model semantics and improving the efficiency of the modeling process itself. We demonstrate the use of psychometric data from two studies involving experienced (enterprise) modeling practitioners and computing science students to find such communities, discuss the challenge that arises in finding common real-world factors shared between their members to identify them by and conclude that the common (often implicit) grouping properties such as similar background, focus and modeling language are not supported by empirical data.
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BERT-NL a set of language models pre-trained on the Dutch SoNaR corpus 2019, Article in monograph or in proceedings (Dutch-Belgian Information Retrieval Conference (DIR 2019))
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Asking Questions about Asking Questions in Collaborative Enterprise Modelling 2012, Article / Letter to editor (The Practice of Enterprise Modeling, vol. 2012, iss. 134, (2012), pp. 16-30)In this paper we explore the subject of question asking as an inherent driver of enterprise modelling sessions, within the narrower context of the ‘dialogue game’ approach to collaborative modelling. We explain the context, but mostly report on matters directly concerning question asking and answer pre-structuring as a central issue in an ongoing effort aiming for the practice-oriented development of a series of dialogue games for collaborative modelling. We believe that our findings can be relevant and helpful to anyone concerned with planning, executing or facilitating collaborative modelling sessions, in particular when involving stakeholders untrained in systems thinking and modelling.
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Approaches for Documentation in Continuous Software Development 2022, Article / Letter to editor (Complex Systems Informatics and Modeling Quarterly, iss. 32, (2022), pp. 1-27)
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Analyzing cancer forum discussions with text mining Oortmerssen, G. van ; Raaijmakers, S. ; Sappelli, M. ; Boertjes, E. ; Verberne, S. ; Walasek, N. ; Kraaij, W.2017, Article in monograph or in proceedings (2nd International Workshop on Extraction and Processing of Rich Semantics from Medical Texts)We present a multilingual, open source system for cancer forum thread analysis, equipped with a biomedical entity tagger and a module for textual summarization. This system allows users to investi- gate textual co-occurrences of biomedical entities in forum posts, and to browse through summaries of long discussions. It is applied to a number of online cancer patient fora, including a gastro-intestinal cancer forum and a breast cancer forum. We propose that the system can serve as an extra source of information for medical hypothesis formulation, and as a facility for boosting patient empowerment.
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Analytical solution and experimental validation of the energy management problem for fuel cell hybrid vehicles Bosch, P.P.J. van den ; Tazelaar, Edwin ; Grimminck, M. ; Hoppenbrouwers, S.J.B.A. ; Veenhuizen, P.A.2011, Article in monograph or in proceedings (EEVC)The objective of an energy management strategy for fuel cell hybrid propulsion systems is to minimize the fuel needed to provide the required power demand. This minimization is defined as an optimization problem. Methods such as dynamic programming numerically solve this optimization problem. Strategies such as the equivalent consumption minimization strategy derive an analytical solution based on low-order models that approximate fuel cell stack and battery behavior. This paper presents an analytical solution based on models of the fuel cell system and battery close to physics. Apart from an analytical solution, this solution provides a fundamental understanding of the energy management problem. Because the solution is analytic and does not need a priori knowledge, the computation time is limited, and real-time implementation is possible. The solution presented is validated against existing optimizing energy management strategies in both simulations and experiments. For simulations, a midsize distribution truck is chosen. Experiments are carried out on a 10-kW scale test facility that comprises a fuel cell system, a battery, a motor with load, and an electronic load. In both simulations and measurements, the solution presented in this paper performs best compared to the equivalent consumption minimization strategy and a range-extender strategy, although the differences are within 3%. In the simulations, the solution presented approaches a minimum in fuel consumption, derived offline using dynamic programming, within 1%.
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An Observation Method for Behavioral Analysis of Collaborative Modeling Skills : Proceedings of the 5th International Workshop on Cognitive Aspects of Information Systems Engineering, In conjunction with CAiSE’17 2017, Article in monograph or in proceedings (Metzger, A.; Person, A. (ed.), Advanced Information Systems Engineering Workshops CAiSE 2017, pp. 59-71)
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An Agile Way of Working : Chapter 6 Linden, D. van der ; Lacob, M.E. ; Amrit, C. ; Stokkum, W. van ; Wilmont, I. ; Hoppenbrouwers, S.J.B.A.2012, Part of book or chapter of book ()Economies around the globe have evolved into being largely service-oriented economies. Consumers no longer just want a printer or a car, they rather ask for a printing service or a mobility service. In addition, service-oriented organizations increasingly exploit new devices, technologies and infrastructures. Agility is the ability to deal with such changing requirements and environments. Agile ways of working embrace change as a positive force and harness it to the organizations competitive advantage. The approach described in this book focuses on the notion of a service as a piece of functionality that offers value to its customers. Instead of solely looking at agility in the context of system or software development, agility is approached in a broader context. The authors illustrate three kinds of agility that can be found in an agile enterprise: business, process and system agility. These three types of agility reinforce each other and establish the foundation for the agile enterprise. Architecture, patterns, models, and all of the best practices in system development contribute to agile service development and building agile applications. This book addresses two audiences. On the one hand, it aims at agile and architecture practitioners who are looking for more agile ways of working in designing and building business services or who are interested in extending and improving their agile methods by using models and model-based architectures. On the other hand, it addresses students of (enterprise) architecture and software development or service science courses, both in computer science and in business administration.
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Achilles en de schildpad 2500 jaar na Zeno 2021, Article / Letter to editor (Logique et Analyse, vol. 255, (2021), pp. 245-265) -
Abstract reasoning in collaborative modeling 2012, Article in monograph or in proceedings (Proceedings of the 45th hawaii international conference on system sciences, pp. 170-179)
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Abstract Reasoning and Individual Differences in Conceptual Modelling 2011, Article in monograph or in proceedings (PhD colloquium, ER 2011)
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A vision on Prescriptive Analytics 2017, Article in monograph or in proceedings (Proceedings of ALLDATA, The 3d international conference on Big Data, Small Data, Linked Data and Open Data)In this paper, we show our vision on prescriptive analytics. Prescriptive analytics is a field of study in which the actions are determined that are required in order to achieve a particular goal. This is different from predictive analytics, where we only determine what will happen if we continue current trend. Consequently, the amount of data that needs to be taken into account is much larger, making it a relevant big data problem. We zoom in on the requirements of prescriptive analytics problems: impact, complexity, objective, constraints and data. We explain some of the challenges, such as the availability of the data, the downside of simulations, the creation of bias in the data and trust of the user. We highlight a number of application areas in which prescriptive analytics could or would not work given our requirements. Based on these application areas, we conclude that domains with a large amount of data and in which the phenomena are restricted by laws of physics or math are very applicable for prescriptive analytics. Areas in which the human or human activities play a role, future research will be required to meet the requirements and tackle the challenges. Directions of future research will be in integrating model-driven and data-driven approaches, but also privacy, ethics and legislation. Whereas predictive analytics is often already accepted in society, prescriptive analytics is still in its infancy.
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A quality evaluation framework for a CNL for agile law execution 2021, Article in monograph or in proceedings (ACL Anthology -- proceedings of the Seventh International Workshop on Controlled Natural Language (CNL'21))
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A Case Study of Executive Functions in Real Process Modeling Sessions 2019, Article in monograph or in proceedings (Proper, H. A.; Stirna, J. (ed.), Advanced Information Systems Engineering Workshops. CAiSE 2019)
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