In our society which has already turned to a service providing society, the technical aspects as well as the human, natural, social and economic aspects must be considered together. This has already resulted in considerable research on these aspects that are related to disciplines like Information Systems, Software Engineering and Service Science, as for example, how empirical research should be conducted, what are the conditions for "valid" knowledge, and which the scope of theories in these fields are. These are elements that are of interest from perspectives as diverse as philosophy, engineering and technology. For example, the material and temporal entities that are dealt with in a given field are a matter of ontology, and the conditions for credibility of statements and research methods are a matter of epistemology. Hence the relationship and influences between software and computational models, information systems and service science will be studied from an ontological view point, but with a broad perspective under which researchers with different background can meet and truly multi-disciplinary issues can arise.
As in the previous editions the main goal of this event is to allow challenging and promising cross-fertilization over multidisciplinary research areas to be tackled and investigated by all the participants. The design of systems in which parts have complex interactions, more and more the understanding of theoretical, epistemological and conceptual frameworks coming from the human and social sciences.
Topics therefore include (but are not limited to) the following:
- Ontology and other representations of Software Engineering, Systems Engineering, Service Engineering and Information Systems.
- Ontologies of natural or social systems in general, with an emphasis on the modelling process and issues.
- Studies and essays about metrics, indicators and general issues regarding research on Software, Services and Systems Engineering models.
- Conceptualizations, bodies of knowledge or schemas for software engineering, service engineering and information systems.
- Applications that deal with representations of concepts and relations of the disciplines.
- Social, psychological and organizational issues about modelling in the disciplines.
- Epistemological and philosophical aspect of system modelling and development.
- Empirical studies regarding ontologies and models in the disciplines addressed.
- Architectural patterns and ontologies for the design of high-quality services and systems.
- UML and other system modelling frameworks.
- Ontologies in requirements engineering, intensional and goal modelling in the context of services
- Ontology driven development and management of services and software.
- Natural language, models and ontologies.
- Social, technical and economic impacts of models.
- Ontologies and models representing customer issues.
- Ontologies and process models.
- Ontologies and models to improve the efficiency in services and systems
- Models of Software as a Service (SaaS) and other IT infrastructure
- Models and ontologies related to the Internet of Services and Things
- Models of reasoning and emergent behaviour in artificial, social and natural systems.
- Integration of static and dynamic aspects of ontologies and conceptual models
- Visualization of ontologies and models
- Semantic sensor networks
- Model-based processing of large sensor datasets