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Conceptual models are artifacts representing conceptualizations of particular domains. Hence, multi-domain model catalogs serve as empirical sources of knowledge and insights about specific domains, about the use of a modeling language’s ...

The Unified Foundational Ontology (UFO) has been used to provide foundations for the major conceptual modeling constructs. So far, UFO has reflected a view in which domain entities are fundamentally divided into those that collect invariants of ...

Conceptual modeling is an integral part of computer science research and is widely adopted in industrial practices, e.g., business process and enterprise architecture management. Providing adequate and usable modeling tools is necessary for the ...

Patterns are recurrent structures that provide key insights for Conceptual Modeling. Typically, patterns emerge from the repeated modeling practice in a given field. However, their discovery, if performed manually, is a slow and highly laborious ...

The development of dependable information systems in legal contexts requires a precise understanding of the subtleties of the underlying legal phenomena. According to a modern understanding in philosophy of law, much of these phenomena are ...

Creation of realistic residential buildings has been the topic of research in procedural content generation (PCG) for several years. Most PCG methods rely on analysing domain knowledge in the applicable setting and encoding that knowledge as ...

In a growing number of industries, digitalization enables new value co-creation, leading to innovative changes in the economy and society. Digitalization arises from the Information Technology domain, blending and encapsulating digital ...

This paper presents an ontological account for how participants enter or exit events, based on a view of events as delimited by systems. With that, we introduce the notions of engaging and disengaging event as the events through which (...

For some time, and even more so now, Fake News has increasingly occupied the media and social space. How identify Fake News and conspiracy theories have become an extremely attractive research area. However, the lack of a solid and well-founded ...

While personal coach applications are now ubiquitous, personal lifelong pathway co-construction, although present in a wide range of situations (e-learning, healthcare, return to employment, home-care of elders, etc.) is largely overlooked. ...

Novelty detection in social video has drawn much attention of researchers and is applied to many tasks in real-world applications, such as e-commerce and e-learning. Existing methods cannot address this issue effectively, since most of them do not ...

In an ideal world, IT service adoption is derived from the value it gives to the different stakeholders. However, in the real world, human behavior may induce sub-optimal decision making that raises barriers to the optimal adoption of the service. ...

The discovery of spatial association rules is a core task in spatial data science projects and focuses on extracting useful and meaningful spatial patterns and relationships from spatial and geometric information. Many spatial phenomena have been ...

The human genome is traditionally represented as a DNA sequence of three billion base pairs. However, its intricacies are captured by many more complex signals, representing DNA variations, the expression of gene activity, or DNA’s structural ...

Polarization analysis is critical for effective policy and strategy implementation. Various aspects of the COVID-19 pandemic are discussed on social media platforms extensively. While social media are used to share factual information and official ...

To handle data variety in one project, some researchers proposed using multiple databases or one multi-model database to manage various data. However, considering that the predominated Relational Database Management Systems (RDBMSs) in the current ...

Despite omnipresent digitalization, the infrastructure for information processing in companies often lags years behind. As a result, employees have to compensate for the inadequacies of legacy software and spend their time collecting, copying, and ...

MDA-based initiatives for software development have included computation-independent models to align information system models with business knowledge which is important in the development process. One source of business knowledge is the business ...

Decision mining enables discovery of decision rules guiding the control flow in processes. Existing decision mining techniques deal with different kinds of decision rules, e.g., overlapping rules, or including data elements, for example, time ...

Performance analysis in process mining aims to provide insights on the performance of a business process by using a process model as a formal representation of the process. Existing techniques for performance analysis assume that a single case ...

Entity alignment is an effective solution to integrate resources from different knowledge graphs (KGs). It aims to establish link between entities in different KGs that refer to the same object in the real world. Most of the existing embedding-...

Existing approaches for evaluating data quality were established for settings where user requirements regarding data use could be explicitly gathered. Currently, however, users are often faced with new, unfamiliar, and repurposed datasets where ...