CALL FOR PAPERS
Topics
Modelling of information is necessary in developing information systems. Information is acquired from many sources, by using various methods and tools. It must be recognized, conceptualized, and conceptually organized efficiently so that users can easily understand and use it. Modelling is needed to understand, explain, organize, predict, and reason on information. It also helps to master the role and functions of components of information systems. Modelling can be performed with many different purposes in mind, at different levels, and by using different notions and different background theories. It can be made by emphasising users' conceptual understanding of information on a domain level, on an algorithmic level, or on representation levels. On each level, the objects and structures used on them are different, and different rules govern the behaviour on them. Therefore the notions, rules, theories, languages, and methods for modelling on different levels are also different. It will be useful if we can develop theories and methodologies for modelling, to be used in different situations, because databases, knowledge bases, and repositories in knowledge management systems, developed on the basis of models and used to technically store information, are growing day by day.
In this conference the interest is focused on modelling of information, and one of the central topics might be modelling of time. Scientific or technical papers of high quality are sought on topics including, but not limited to the following. The highest priority will be given to papers which are strongly related to different aspects of modelling.
1. Theoretical and Philosophical Basis of Concept Modelling and Conceptual Modelling
- Information recognition, conceptualisation, and concept formation
- Properties of concepts, systems of concepts, and theories of concept systems
- Subjective concepts and collective concepts
- Conceptual change and time, ontology of time
- Concept integration and integration of modelling paradigms
- Description of concepts, views, and viewpoint dynamics
2. Conceptual Modelling and Information Requirements Specification (IRS)
- Ontologies, conceptual modelling, and natural language in IRS
- Conceptual information requirements specification for information systems
- Conceptual modelling for knowledge management
- Languages, tools and methods for conceptual modelling
- Methods and systems for developing and using conceptual information
- Methodologies for ontology development, maintenance, and integration
- Conceptual modelling of time
3. Conceptual Models of Intelligent Activities
- Cognitive strategies for model construction
- Conceptual modelling and problem solving
- Conceptual modelling of temporal constructs, identity and change
- Meta-modelling in the model building process
- Relationships between knowledge management and problem solving
- The ontology of social reality and the modelling process of social reality
4. Collections of Data, Knowledge, and Descriptions of Concepts
- Knowledge management for conceptual modelling and IRS
- Conceptual modelling in spatial or temporal databases, or both
- Active database systems and active knowledge base systems
- Modelling methods, design methodologies and tools
- Collaborative knowledge management
- Modelling, Using and Managing Context
- Context Computing
5. Human-Computer Interaction and Modelling
- Conceptual models as interfaces of systems, data bases and knowledge bases,
- Ontology for human-computer interaction, including time
- Metadata and knowledge management for human-computer interaction
- Cognition problems in large conceptual schemata
- Modelling in multimedia information systems
6. Software Engineering and Modelling
- Design and use of concept definition libraries, design patterns, frameworks
- Architectures of meta-models for information systems,
- Modelling software engineering processes
- UML, ORM, Petri-nets, and other formalisms as modelling tools
- Modelling of multi-agent systems - modelling in multi-agent systems
7. Applications
- Enterprise modelling and strategic concept development
- Business-process modelling
- Modelling global information systems
- Modelling for mobile information systems
- Conceptual modelling of information systems for virtual organizations
- Modelling in the WWW systems and conceptual models for web data
