The aim of this study is to design and implement a computer system, which will allow the semantic cataloging and data retrieval in the field of cast iron processing. The intention is to let the system architecture allow for consideration of data on various processing techniques based on the information available or searched by a potential user. This is achieved by separating the system code from the knowledge of the processing operations or from the chemical composition of the material being processed. This is made possible by the creation and subsequent use of formal knowledge representation in the form of ontology. So, any use of the system is associated with the use of ontologies, either as an aid for the cataloging of new data, or as an indication of restrictions imposed on the data which draw user attention. The use of formal knowledge representation also allows consideration of semantic meaning, a consequence of which may be, for example, returning all elements in subclasses of the searched process class or material grade.
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The main goal of our lately researches bas been to prove that application of technological knowledge can be supported by artificial intelligence tools and internet techniques. Computer aided systems for technological process design presented in literature have a priori defined, fixed structure. The aim of our work was to develop an open system that guarantees easy knowledge changing and extending. We use the original method elaborated in University of Science and Technology called IwQ (Inference with Queries) as an inference engine for business and technological rules management. We also consider storage of data in relational database as a tool for ontology development. Application of metamodel in predefining information structure enabled flexible recording of the significantly differing information resources.
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