As an entry to distributed materials information, an interface to handle an extended directory of materials data systems named MMDDB (Materials Metadata Data Base) is developed by taking advantage of a computerized dictionary to increase the transparency to huge computerized information on materials. INGRES/Windows 4GL system is used in this development and retrieval examples show the importance of well-defined dictionary and the rapid prototyping capabilities of 4GL language.
This paper reports an information system called OS-IBS (Organic Synthesis Information-Base System) with elaborated functions such as machine learning, analogical reasoning etc. Machine learning is realized by structuralizing the information, I. E. by generating links automatically and analogical reasoning is realized by evaluating analogical relationship such as similarities of chemical structures, reaction patterns etc. The source information of OS-IBS came from a database system called CORES which has been developed to store and to manage information necessary for research of organic syntheses.