An Agile and Ontology-Aided Modeling Environment

Laurenzi, Emanuele; Hinkelmann, Knut; Merwe, Alta van der

doi:10.1007/978-3-030-02302-7_14

Cited by 17 publications

(2 citation statements)

References 29 publications

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“…The literature also reports other approaches for managing model contents with semantic technology [23] however the focus of that work is the ontological integration of models rather that generation of running webpage code.…”

Section: Literature Reviewmentioning

confidence: 99%

Agile Development of PHP Websites: A Model-Aware Approach

Gog

2020

J. Complex Syst. Inform. Model. Q.

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The Design Science research method was hereby employed to develop an artifact that demonstrates the experimental “model-aware” software engineering methodology in the context of PHP Web development – a “low code” development approach with code templates generated from technology-specific models. The proof-of-concept consists of two interacting components: a custom diagrammatic modeling environment and model-driven generated PHP pages. The interaction between the two components conforms the engineering method labelled as “Model-aware software engineering” (MASE) – a flavor of model-driven engineering recently introduced in research projects as a hybridization of the Agile Modeling Method Engineering (AMME) framework and the Resource Description Framework (RDF). The experimental MASE method is employed here to demonstrate its feasibility for the common Model-View-Controller (MVC) website development pattern, thus showing potential to support common Web development work.

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Section: Literature Reviewmentioning

confidence: 99%

Agile Development of PHP Websites: A Model-Aware Approach

Gog

2020

J. Complex Syst. Inform. Model. Q.

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“…It is implemented as an instantiation of the AOAME modeling environment [29] extending the ArchiMEO ontology with the above-mentioned business model ontology for the enhanced BMC. AOAME is implemented via a web service, a web application, and an ontology repository and shortly described in the following based on the work of [30]. The web service enables to create the link to the business model ontology and the web app.…”

Section: Implementation Of Aoame4bmcmentioning

confidence: 99%

Ontology-Based Visualization for Business Model Design

Peter

Montecchiari

Hinkelmann

et al. 2020

Lecture Notes in Business Information Processing

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The goal of this paper is to demonstrate the feasibility of combining visualization and reasoning for business model design by combining the machine-interpretability of ontologies with a further development of the widely accepted business modeling tool, the Business Model Canvas (BMC). Since ontologies are a machine-interpretable representation of enterprise knowledge and thus, not very adequate for human interpretation, we present a tool that combines the graphical and human interpretable representation of BMC with a business model ontology. The tool connects a business model with reusable data and interoperability to other intelligent business information systems so that additional functionalities are made possible, such as a comparison between business models. This research follows the design science strategy with a qualitative approach by applying literature research, expert interviews, and desk research. The developed AOAME4BMC tool consists of the frontend, a graphical web-based representation of an enhanced BMC, a web service for the data exchange with the backend, and a specific ontology for the machine-interpretable representation of a business model. The results suggest that the developed tool AOAME4BMC supports the suitability of an ontology-based representation for business model design.

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