call for paper – 5th International Conference on Artificial Intelligence and Applications (AI 2019)

5th International Conference on Artificial Intelligence and Applications (AI 2019) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and its applications. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Events as Entities in Ontology-Driven Conceptual Modeling

The Unified Foundational Ontology (UFO) has been used to provide foundations for the major conceptual modeling constructs. This ontology has led to the OntoUML Ontology-Driven Conceptual Modeling language, a UML class diagram profile reflecting the ontological micro-theories comprising UFO. So far, the focus of OntoUML has been on the representation of structural aspects of a domain (endurant types and their relations), corresponding to a fragment of UFO dubbed UFO-A. This paper extends OntoUML by addressing the representation of event types, reflecting the UFO-B foundational ontology of…

Ontological Anti-Patterns in Taxonomic Structures

Over the years, there is a growing interest in employing theories from philosophical ontology, cognitive science, and linguistics to devise theoretical, methodological and computational tools for conceptual modeling, knowledge representation, and ontology engineering. In this paper, we discuss one particular kind of such tools, namely, ontological anti-patterns. Ontological anti-patterns are error-problem modeling structures that can create a deviation between the possible and the intended interpretations of an ontology. The contributions of this paper are threefold. Firstly, we propose…

Image Schema Combinations and Complex Events

Formal knowledge representation struggles to represent the dynamic changes within complex events in a cognitively plausible way. Image schemas, on the other hand, are spatiotemporal relationships used in cognitive science as building blocks to conceptualise objects and events on a high level of abstraction. In this paper, we explore this modelling gap by looking at how image schemas can capture the skeletal information of events and describe segmentation cuts essential for concep-tualising dynamic changes. The main contribution of the paper is the introduction of a more systematic approach…

Capturing Multi-Level Models in a Two-Level Formal Modeling Technique

Conceptual models are often built with techniques that propose a strict stratification of entities into two classification levels: a level of types (or classes) and a level of instances. Multi-level conceptual modeling extends the conventional two-level scheme by admitting that types can be instances of other types, giving rise to multiple levels of classification. Nevertheless, the vast majority of tools and techniques are still confined to the two-level scheme, and hence cannot be used for multi-level models directly. We show here how a multi-level model in ML2 can be transformed into a…

OPC UA NodeSet Ontologies as a Pillar of Representing Semantic Digital Twins of Manufacturing Resources

The effectiveness of cognitive manufacturing systems in agile production environments heavily depends on the automatic assessment of various levels of interoperability between manufacturing resources. For taking informed decisions, a semantically rich representation of all resources in a workcell or production line is required. OPC UA provides means for communication and information exchange in such distributed settings. This paper proposes a semantic representation of a resource's properties, in which we use OWL ontologies to encode the information models that can be found in OPC UA…