| Information modelling and knowledge bases are becoming very important topics not only in academic communities related to information systems and computer science but also in the business field of information technology.
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.
Those interdisciplinary research results include common interests in understanding and solving problems on information modelling and knowledge bases, as well as applying those research results to the practical application areas. |
