Guest editorial: Information reuse, integration, and reusable systems

摘要

Given the emerging global Information-centric IT landscape that has tremendous social and economic implications, effectively processing and integrating huge volumes of information from diverse sources to enable effective decision making and knowledge generation have become one of the most significant challenges of current times. This special issue intends to publish high quality papers that present novel techniques and frameworks that maximize the reuse of information by creating simple, rich, and reusable knowledge representations and consequently explore strategies for integrating this knowledge into systems and applications. The emphasis of this special issue is subdivided into three major tracks: information reuse, information integration, and reusable systems. Information reuse addresses the theory and practice of representation optimization, with the goal to minimize the time and effort spent to develop new information technologies, architectures, frameworks, and repositories, etc. Possibilities of reusing existing resources, such as data/software repositories, should be exploited to avoid waste of effort and resources in developing new products. Information integration focuses on innovative strategies and algorithms for applying integration approaches in novel domains. Information reuse and integration are essential in avoiding duplicate efforts. Reusable systems focuses on deploying models and corresponding processes, which enable Information Reuse and Integration to play a pivotal role in enhancing decision-making processes in various application domains.