DSML4PTM - A Domain-Specific Modelling Language for Patient Transferal Management

Business Information Systems and Technology 4.0

Martin

et al. 2018

Self Cite

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.

Section: Conceptual Solution Of Ontology-based Metamodelingmentioning

confidence: 99%

Ontology-Based Metamodeling

Business Information Systems and Technology 4.0

Martin

et al. 2018

Self Cite

“…The adaptation of a modeling language can be done by applying a set of operators on the Language Ontology. In order to determine an initial set of operators, we build on lessons learned from the work of recent research projects, Patient-Radar [6,26] and CloudSocket 5 [27,28]. Thus, the following set of operators were derived to be performed on the Language Ontology, which implies a theoretical foundation based on ontology formalism.…”

Section: Operators For Adapting a Modeling Languagementioning

confidence: 99%

“…The operators were also validated by applying them on a use case of the Patient-Radar research project. The BPMN modeling language was adapted on-the-fly with modeling elements from the patient transferal domain [6]. Figure 4 shows the screen-shot of Operators 1 and 2 as illustration.…”

Section: Validationmentioning

confidence: 99%

“…Domain-Specific Adaptation: With the need to address particular application domains, existing modeling languages might not be expressive and concise enough to be adopted. This can lead to the need of adapting existing modeling languages through a domain-specific conceptualization [6,7]. In result, a domain-specific modeling language (DSML) [8,9] is created.…”

Section: Introductionmentioning

confidence: 99%

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Towards an Agile and Ontology-Aided Modeling Environment for DSML Adaptation

Lecture Notes in Business Information Processing

Izzo

et al. 2018

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The advent of digitalization exposes enterprises to an ongoing transformation with the challenge to quickly capture relevant aspects of changes. This brings the demand to create or adapt domain-specific modeling languages (DSMLs) efficiently and in a timely manner, which, on the contrary, is a complex and timeconsuming engineering task. This is not just due to the required high expertise in both knowledge engineering and targeted domain. It is also due to the sequential approach that still characterizes the accommodation of new requirements in modeling language engineering. In this paper we present a DSML adaptation approach where agility is fostered by merging engineering phases in a single modeling environment. This is supported by ontology concepts, which are tightly coupled with DSML constructs. Hence, a modeling environment is being developed that enables a modeling language to be adapted on-the-fly. An initial set of operators is presented for the rapid and efficient adaptation of both syntax and semantics of modeling languages. The approach allows modeling languages to be quickly released for usage.

“…This allows designing domain-specific models that capture the appropriate domain knowledge on each of the two dimensions, business and IT. Benefits of domain-specific conceptualizations are well established within the modeling community [25] [17] [10]. Secondly, this work builds upon the findings in [13] but adopts a different perspective of Business-to-IT alignment in the Cloud.…”

Section: Business-to-it Alignmentmentioning

confidence: 99%

Towards Business-to-IT Alignment in the Cloud

Kritikos

Communications in Computer and Information Science

2018

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Cloud computing offers a great opportunity for business process (BP) flexibility, adaptability and reduced costs. This leads to realising the notion of business process as a service (BPaaS), i.e., BPs offered on-demand in the cloud. This paper introduces a novel architecture focusing on BPaaS design that includes the integration of existing state-ofthe-art components as well as new ones which take the form of a business and a syntactic matchmaker. The end result is an environment enabling to transform domain-specific BPs into executable workflows which can then be made deployable in the cloud so as to become real BPaaSes.