Information Modelling & Knowledge Bases
Y. Kiyoki

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Currently, the structural complexity of information resources, the variety of abstraction levels of information, and the size of databases and knowledge bases are continuously growing. We are facing the complex problems of structuring, sharing, managing, searching and mining data and knowledge from a large amount of complex information resources existing in databases and knowledge bases. New methodologies in many areas of information modelling and knowledge bases are expected to provide sophisticated and reliable solutions to these problems. The aim of this series of "Information Modelling and Knowledge Bases" is to provide research communities in information modelling and knowledge bases with scientific results and experiences achieved by using innovative methodologies in computer science and other disciplines related to linguistics, philosophy, and psychology. The selected papers cover many areas of information modelling, concept theories, database semantics, knowledge bases and systems, software engineering, WWW information managements, context-based information access spaces, ontological technology, image databases, temporal and spatial databases, document data managements, and many more.