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Chapter and Conference Paper
On the Semantics of Risk Propagation
Risk propagation encompasses a plethora of techniques for analyzing how risk “spreads” in a given system. Albeit commonly used in technical literature, the very notion of risk propagation turns out to be a concep...
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Chapter and Conference Paper
Popularity Driven Data Integration
More and more, with the growing focus on large scale analytics, we are confronted with the need of integrating data from multiple sources. The problem is that these data are impossible to reuse as-is. The net res...
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Chapter and Conference Paper
Pattern Discovery in Conceptual Models Using Frequent Itemset Mining
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 manu...
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Chapter and Conference Paper
Ontological Analysis and Redesign of Security Modeling in ArchiMate
Enterprise Risk Management and security have become a fundamental part of Enterprise Architecture, so several frameworks and modeling languages have been designed to support the activities associated with thes...
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Chapter and Conference Paper
A FAIR Model Catalog for Ontology-Driven Conceptual Modeling Research
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 ...
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Chapter and Conference Paper
Understanding and Modeling Prevention
Prevention is a pervasive phenomenon. It is about blocking an effect before it happens or stop** it as it unfolds: vaccines prevent (the unfolding of) diseases; seat belts prevent events causing serious inju...
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Chapter and Conference Paper
An Ontology of Security from a Risk Treatment Perspective
In Risk Management, security issues arise from complex relations among objects and agents, their capabilities and vulnerabilities, the events they are involved in, and the value and risk they ensue to the stak...
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Chapter and Conference Paper
How FAIR are Security Core Ontologies? A Systematic Map** Study
Recently, ontology-based approaches to security, in particular to information security, have been recognized as a relevant challenge and as an area of research interest of its own. As the number of ontologies ...
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Chapter and Conference Paper
Mind the Gap!: Learning Missing Constraints from Annotated Conceptual Model Simulations
Conceptual modeling plays a fundamental role to capture information about complex business domains (e.g., finance, healthcare) and enables semantic interoperability. To fulfill their role, conceptual models mu...
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Chapter and Conference Paper
Ranking Schemas by Focus: A Cognitively-Inspired Approach
The main goal of this paper is to evaluate knowledge base schemas, modeled as a set of entity types, each such type being associated with a set of properties, according to their focus. We model the notion of focu...
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Chapter and Conference Paper
Towards Automated Support for Conceptual Model Diagnosis and Repair
Validating and debugging conceptual models is a very time-consuming task. Though separate software tools for model validation and machine learning are available, their integration for an automated support of the ...
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Chapter and Conference Paper
Towards Understanding Classification and Identification
The paper focuses on two pivotal cognitive functions of both natural and AI agents, namely classification and identification. Inspired from the theory of teleosemantics, itself based on neuroscientific results, w...
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Chapter and Conference Paper
Teleologies: Objects, Actions and Functions
We start from the observation that the notion of concept, as it is used in perception, is distinct and different from the notion of concept, as it is used in knowledge representation. In earlier work we called...
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Chapter and Conference Paper
From ER Models to the Entity Model
In this paper, a new knowledge representation formalism, called the entity model, is introduced. This model can be used to address knowledge diversity by making the modeling assumptions of different knowledge rep...