A visual modeling approach for the Semantic Web Rule Language

Pittl, Benedikt; Fill, Hans-Georg

doi:10.3233/sw-180340

Cited by 11 publications

(6 citation statements)

References 33 publications

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“…It is, therefore, an ideal framework that can serve as a common ground for psychoeducational research and provide further insights into the involved concepts to be used as a basis for psychology-and technology-based solutions. A set of existing tools can be used to enable psychologists to browse the relevant ontology parts (Lohmann et al, 2016;Dudáš et al, 2018;Ivanova et al, 2019;El Bolock et al, 2020e;Florrence, 2021) and to apply rules to the knowledge represented by the ontology (Heyvaert et al, 2018;Coelho et al, 2019;El Bolock et al, 2020d;Pittl and Fill, 2020).…”

Section: Aim Of the Present Studymentioning

confidence: 99%

An Ontology-Based Framework for Psychological Monitoring in Education During the COVID-19 Pandemic

2021

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BackgroundEspecially in the current crisis of the COVID-19 pandemic and the lockdown it entailed, technology became crucial. Machines need to be able to interpret and represent human behavior, to improve human interaction with technology. This holds for all domains but even more so for the domain of student behavior in relation to education and psychological well-being.MethodsThis work presents the theoretical framework of a psychologically driven computing ontology, CCOnto, describing situation-based human behavior in relation to psychological states and traits. In this manuscript, we use and apply CCOnto as a theoretical and formal description system to categorize psychological factors that influence student behavior during the COVID-19 situation. By doing so, we show the added value of ontologies, i.e., their ability to automatically organize information from unstructured human data by identifying and categorizing relevant psychological concepts.ResultsThe already existing CCOnto was modified to automatically categorize university students’ state and trait markers related to different aspects of student behavior, including learning, worrying, health, and socially based on psychological theorizing and psychological data conceptualization.DiscussionThe paper discusses the potential advantages of using ontologies for describing and modeling psychological research questions. The handling of dataset completion, unification, and its explanation by means of Artificial Intelligence and Machine Learning models is also discussed.

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Section: Aim Of the Present Studymentioning

confidence: 99%

An Ontology-Based Framework for Psychological Monitoring in Education During the COVID-19 Pandemic

2021

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“…In many cases, so-called domain-specific conceptual modeling languages are created, whose concepts are tailored towards particular application domains [21]. This includes for example modeling languages for supporting business process improvement [22], for integrating semantic technologies in information systems [23], [24], for managing risks [25], [26] or for designing productservice systems [27].…”

Section: Enterprise Modelingmentioning

confidence: 99%

“…Thereby, the content of the models is either processed by according engines or the models provide information for configuring machines [32]. Besides the classical example of workflow engines that execute tasks specified in the form of process models [33], more recent approaches offer interfaces to technologies such as machine learning [34], rule engines [24], blockchains [35], [36], chatbot platforms [37] or cyber-physical systems [38].…”

Section: Enterprise Modeling For Digital Ubiquitymentioning

confidence: 99%

Enterprise Modeling: From Digital Transformation to Digital Ubiquity

Fill¹

2020

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems

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While digital transformation is still a challenge for many companies when introducting digital technologies in existing processes and business models, digital ubiquity stands for the next step in digitalization. It characterizes the omnipresence of a large range of digital technologies, connectivity, and data as well as entirely digital organizations. This includes for example upcoming technologies such as distributed ledgers, artificial intelligence or augmented reality and according interfaces and data sources as well as decentralized apps and autonomous organizations. The challenge thus becomes to optimally deal with these opportunities and deploy them efficiently in business scenarios. In this paper we will investigate the role of enterprise modeling under this paradigm and how it can contribute to a well-structured, systematic understanding of complex digital phenomena for supporting business and technological decisions.

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“…To conclude this section, let us mention that lots of business applications are based on rules, and several computer languages for encoding business rules have been proposed, as XML extensions, such as SWRL (Espinasse, [5]) or RuleML (Boley [1], Boley et al [2]). The simplest of those extensions is as follows: <Implies> <if> <..> </if> <then> <..> </then> </Implies> Also, very recently, a visual language has been proposed such as by Pittl et al [15], based on SWRL.…”

Section: About Rules In Itmentioning

confidence: 99%

A Mathematical Language for the Modeling of Geospatial Static Rules

Laurini¹

2019

JVLC

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More and more in information technologies, rules are considered as first-class citizens; and many applications in business intelligence are built on rules. But in territorial intelligence and in smart city planning, few works have been done in this direction. The role of this paper is to show the importance of geographic rules and to propose, beyond the modeling in natural language, a mathematical language to model them. This language is primary based on logic and set theory in which some relations and operators coming from topology, computational geometry and operation research are integrated, and will cover only static rules. By mathematical language, one means that it is independent from any software product or and application, and its formal grammar is presented by means of syntactic diagrams. Several examples are provided especially in urban planning.

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A visual modeling approach for the Semantic Web Rule Language

Cited by 11 publications

References 33 publications

An Ontology-Based Framework for Psychological Monitoring in Education During the COVID-19 Pandemic

An Ontology-Based Framework for Psychological Monitoring in Education During the COVID-19 Pandemic

Enterprise Modeling: From Digital Transformation to Digital Ubiquity

A Mathematical Language for the Modeling of Geospatial Static Rules

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