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Information Modelling and Knowledge Bases XXV

Because of our ever increasing use of and reliance on technology and information systems, information modelling and knowledge bases continue to be important topics in those academic communities concerned with data handling and computer science. As the information itself becomes more complex, so do the levels of abstraction and the databases themselves. This book is part of the series Information Modelling and Knowledge Bases, which concentrates on a variety of themes in the important domains of conceptual modeling, design and specification of information systems, multimedia information modeling, multimedia systems, ontology, software engineering, knowledge and process management, knowledge bases, cross-cultural communication and context modeling. Theoretical disciplines, including cognitive science, artificial intelligence, logic, linguistics and analytical philosophy, also receive attention. The selected papers presented here cover many areas of information modeling and knowledge bases including: theory of concepts, semantic computing, data mining, context-based information retrieval, ontological technology, image databases, temporal and spatial databases, document data management, software engineering, cross-cultural computing, environmental analysis, social networks, WWW information management, and many others. This new issue also contains papers initiated by the panels on: “Cross-cultural Communication with Icons and Images” and “Conceptual Modelling of Collaboration for Information Systems”. The book will be of interest to all those interested in advances in research and applications in the academic disciplines concerned.

The research focus of this paper is driven by the above considerations to
introduce the icon-based language comprising a set of icon notations, syntactic
and semantics. Icon-based language would support the requirements
engineering tasks that normally executed by stakeholders and provide a visual
modelling language to unify the requirement activities. Research approach is
recapitulate, firstly, by identifying the requirements engineering artefact, secondly
by refining the icon ...