Knowledge-technology-based discovery of unauthorized genetically modified organisms

摘要

An approach to knowledge-technology-based discovery of unauthorized genetically modified organisms (UGMs) is studied. The first and most fundamental concept underlying the new approach to GMO detection is to recognize that GMOs lead a life in two parallel spaces, in physical space and in documentation space. The second concept is that knowledge technologies may be used to exploit the documentation space, to collect, structure, and interpret documented information, and to extract knowledge from it with the purpose of discovering the unauthorized presence of GMOs on the market or in the environment. A model is used to support the collection, structuring, and understanding of the information. The model describes in detail the approved conditions and uses as well as the different actors and activities involved in the development, authorization, and commercialization pipelines. A computational framework should be established that encompasses the modeling of the GMO life cycle, and allows performing investigative searches using highly heterogeneous information sources.