Auflistung nach Schlagwort "Conceptual modeling"
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- ZeitschriftenartikelConnecting Knowledge to Data Through Transformations in KnowID: System Description(KI - Künstliche Intelligenz: Vol. 34, No. 3, 2020) Fillottrani, Pablo R.; Jamieson, Stephan; Keet, C. MariaIntelligent information systems deploy applied ontologies or logic-based conceptual data models for effective and efficient data management and to assist with decision-making. A core deliberation in the design of such systems, is how to link the knowledge to the data. We recently designed a novel knowledge-to-data architecture (KnowID) which aims to solve this critical step through a set of transformation rules rather than a mapping layer, which operate between models represented in EER notation and an enhanced relational model called the ARM. This system description zooms in on the novel tool for the core component of the transformation from the Artificial Intelligence-oriented modelling to the relational database-oriented data management. It provides an overview of the requirements, design, and implementation of the modular transformations module that straightforwardly permits extension with other components of the modular KnowID architecture.
- ZeitschriftenartikelDas Forschungsfeld „Modellierung betrieblicher Informationssysteme“(Wirtschaftsinformatik: Vol. 56, No. 1, 2014) Frank, Ulrich; Strecker, Stefan; Fettke, Peter; Brocke, Jan; Becker, Jörg; Sinz, ElmarDas Forschungsfeld „Modellierung betrieblicher Informationssysteme“ hat in der wissenschaftlichen Disziplin Wirtschaftsinformatik eine lange Tradition. Der vorliegende Beitrag zeigt auf, durch welche Arbeiten die Modellierungsforschung in der Wirtschaftsinformatik bisher geprägt war, skizziert Herausforderungen, die eine Weiterentwicklung des Forschungsfeldes in den nächsten Jahren erheblich beeinflussen dürften, und entwirft vor diesem Hintergrund die Konturen einer zukünftigen Forschungsagenda.AbstractThe research field “Modeling business information systems” has a long tradition in the scientific discipline of Business and Information Systems Engineering (BISE). The present paper highlights research shaping the research field, discusses challenges impairing the development of the research field in the coming years, and outlines elements of a future research agenda.
- ZeitschriftenartikelDesigning Business Analytics Solutions(Business & Information Systems Engineering: Vol. 62, No. 1, 2020) Nalchigar, Soroosh; Yu, EricThe design and development of data analytics systems, as a new type of information systems, has proven to be complicated and challenging. Model based approaches from information systems engineering can potentially provide methods, techniques, and tools for facilitating and supporting such processes. The contribution of this paper is twofold. Firstly, it introduces a conceptual modeling framework for the design and development of advanced analytics systems. It illustrates the framework through a case and provides a sample methodological approach for using the framework. The paper demonstrates potential benefits of the framework for requirements elicitation, clarification, and design of analytical solutions. Secondly, the paper presents some observations and lessons learned from an application of the framework by an experienced practitioner not involved in the original development of the framework. The findings were then used to develop a set of guidelines for enhancing the understandability and effective usage of the framework.
- ZeitschriftenartikelLow-Code Platform(Business & Information Systems Engineering: Vol. 63, No. 6, 2021) Bock, Alexander C.; Frank, Ulrich
- ZeitschriftenartikelMehrebenen-Modellierung(Wirtschaftsinformatik: Vol. 56, No. 6, 2014) Frank, UlrichDomänenspezifische Modellierungssprachen (engl.: “domain-specific modeling languages”, DSMLs) versprechen deutliche Vorteile gegenüber universellen Modellierungssprachen. Ihr Entwurf ist allerdings mit einer essentiellen Herausforderung verbunden. Um ansehnliche Skaleneffekte zu erreichen, empfiehlt sich die Entwicklung von DSMLs, die in einer größeren Nutzungsbandbreite einsetzbar sind. Gleichzeitig spricht der Gewinn an Modellierungsproduktivität im Einzelfall für Sprachkonzepte, die an individuelle Anforderungen angepasst sind. In dem vorliegenden Beitrag wird ein neuartiger Ansatz zur konzeptuellen Modellierung wie auch zur Konstruktion von Informationssystemen präsentiert, der durch die faktische Nutzung von Fachsprachen inspiriert ist – die Mehrebenen-Modellierung. Im Unterschied zu traditionellen Spracharchitekturen wie der „Meta Object Facility“ (MOF) basiert er auf einer rekursiven Architektur, die eine beliebige Zahl von Klassifikationsebenen ermöglicht und dadurch den Entwurf von Sprachhierarchien – von einer Referenz-DSML bis hin zu „lokalen“ DSMLs – erlaubt. Auf diese Weise wird nicht nur der essentielle Konflikt des Entwurfs von DSMLs deutlich entschärft, sondern auch die Wiederverwendung und Integration von Software-Komponenten im Allgemeinen gefördert. Zudem ermöglicht der Ansatz die Reduktion von Modellkomplexität, indem er die Dichotomie von Spezialisierung und Instanzierung teilweise aufhebt. Darüber hinaus integriert er eine Metamodellierungssprache mit dem Metamodell einer Metaprogrammiersprache, wodurch ausführbare Modelle ermöglicht werden. Die Spezifikation der Spracharchitektur wird ergänzt durch die Darstellung von Anwendungsszenarien, die die Potentiale der Mehrebenen-Modellierung verdeutlichen, sowie eine kritische Betrachtung ihrer Besonderheiten.AbstractDomain-specific modeling languages (DSMLs) promise clear advantages over general-purpose modeling languages. However, their design poses a fundamental challenge. While economies of scale advocate the development of DSMLs that can be used in a wide range of cases, modeling productivity demands more specific language concepts tuned to individual requirements. Inspired by the actual use of technical languages, deutsch: “Fachsprachen” this paper presents a novel multilevel modeling approach to conceptual modeling and to the design of information systems. Unlike traditional language architectures such as Meta Object Facility (MOF), it features a recursive architecture that allows for an arbitrary number of classification levels and, hence, for the design of hierarchies of DSMLs ranging from reference DSMLs to “local” DSMLs. It can not only diminish the conflict inherent in designing DSMLs, but enables the reuse and integration of software artifacts in general. It also helps reduce modeling complexity by relaxing the rigid dichotomy between specialization and instantiation. Furthermore, it integrates a meta-modeling language with a metamodel of a reflective meta-programming language, thereby allowing for executable models. The specification of the language architecture is supplemented by the description of use scenarios that illustrate the potential of multilevel modeling and a critical discussion of its peculiarities.
- ZeitschriftenartikelA Modeling Method in Support of Strategic Analysis in the Realm of Enterprise Modeling(Enterprise Modelling and Information Systems Architectures (EMISAJ) – International Journal of Conceptual Modeling: Vol. 15, Nr. 2, 2021) Sybren de Kinderen, Monika Kaczmarek-HeßOrganizations increasingly have to cope with the digital transformation, which is ubiquitous in today’s society. Strategic analysis is an important first step towards the success of digital transformation initiatives, whereby all the elements (e.g., business processes and IT infrastructure) that are required to achieve the transformation can be aligned to the strategic goals and decisions. In this paper, we work towards a modeling method to perform model-based strategic analysis. We explicitly account for information technology (IT) infrastructure because of its key role for digital transformation. Specifically, (1) based on a conducted study on business scholar literature and existing work in conceptual modeling, a set of requirements is first identified; (2) then, we propose a modeling method that integrates, among others, goal modeling, strategic modeling, and IT infrastructure modeling. The method exploits, among others, three previously designed domain specific modeling languages in the Multi-Perspective Enterprise Modeling (MEMO) family: GoalML, SAML and ITML; (3) we illustrate the use of the modeling method in terms of a digital transformation initiative in the electricity sector; and finally, (4) we evaluate the proposed modeling method by comparing it with the conventional SWOT analysis and reflecting upon the fulfillment of the identified requirements.
- ZeitschriftenartikelMultilevel Modeling(Business & Information Systems Engineering: Vol. 6, No. 6, 2014) Frank, UlrichDomain-specific modeling languages (DSMLs) promise clear advantages over general-purpose modeling languages. However, their design poses a fundamental challenge. While economies of scale advocate the development of DSMLs that can be used in a wide range of cases, modeling productivity demands more specific language concepts tuned to individual requirements. Inspired by the actual use of technical languages (German: “Fachsprachen”), this paper presents a novel multilevel modeling approach to conceptual modeling and to the design of information systems. Unlike traditional language architectures such as Meta Object Facility (MOF), it features a recursive architecture that allows for an arbitrary number of classification levels and, hence, for the design of hierarchies of DSMLs ranging from reference DSMLs to “local” DSMLs. It can not only diminish the conflict inherent in designing DSMLs, but enables the reuse and integration of software artifacts in general. It also helps reduce modeling complexity by relaxing the rigid dichotomy between specialization and instantiation. Furthermore, it integrates a meta-modeling language with a metamodel of a reflective meta-programming language, thereby allowing for executable models. The specification of the language architecture is supplemented by the description of use scenarios that illustrate the potential of multilevel modeling and a critical discussion of its peculiarities.
- ZeitschriftenartikelRecommendation-Based Conceptual Modeling and Ontology Evolution Framework (CMOE+)(Business & Information Systems Engineering: Vol. 59, No. 4, 2017) Gailly, Frederik; Alkhaldi, Nadejda; Casteleyn, Sven; Verbeke, WouterWithin an enterprise, various stakeholders create different conceptual models, such as process, data, and requirements models. These models are fundamentally based on similar underlying enterprise (domain) concepts, but they differ in focus, use different modeling languages, take different viewpoints, utilize different terminology, and are used to develop different enterprise artifacts; as such, they typically lack consistency and interoperability. This issue can be solved by enterprise-specific ontologies, which serve as a reference during the conceptual model creation. Using such a shared semantic repository makes conceptual models interoperable and facilitates model integration. The challenge to accomplish this is twofold: on the one hand, an up-to-date enterprise-specific ontology needs to be created and maintained, and on the other hand, different modelers also need to be supported in their use of the enterprise-specific ontology. The authors propose to tackle these challenges by means of a recommendation-based conceptual modeling and an ontology evolution framework, and we focus in particular on ontology-based modeling support. To this end, the authors present a framework for Business Process Modeling Notation (BPMN) as a conceptual modeling language, and focus on how modelers can be assisted during the modeling process and how this impacts the semantic quality of the resulting models. Subsequently, a first, large-scale explorative experiment is presented involving 140 business students to evaluate the BPMN instantiation of our framework. The experiments show promising results with regard to incurred overheads, intention of use and model interoperability.
- KonferenzbeitragUnderstanding individual processes of conceptual modeling: A multi-modal observation and data generation approach(Modellierung 2020, 2020) Rosenthal, Kristina; Ternes, Benjamin; Strecker, StefanHow conceptual modeling is performed by modelers, how modeling processes proceed, which modeling difficulties modelers face and why, and how to overcome these difficulties by tailored modeling support has received limited attention in conceptual modeling research so far. Studying individual modeling processes by observing modelers during conceptual modeling contributes to identifying modeling difficulties, and to understand whether modelers require tailored modeling support. Based on TOOL, a modeling tool and research observatory for studying modeling processes, we design a multi-modal observation and data generation approach and report its application to exploratory studies of individual modeling processes, and show how complementary modes of observation are integrated during data analysis for a richer and more complete understanding of modeling processes. Moreover, we discuss how the multi-modality of observations contributes to understanding modeling processes and modeling difficulties, and how observations during modeling feed back into the software development of TOOL.