THE ONTOLOGY SUPPORTED INTELLIGENT SYSTEM FOR EXPERIMENT SEARCH IN THE SCIENTIFIC RESEARCH CENTER

Ontologies and corresponding knowledge bases can be quite successfully used for many tasks that rely on domain knowledge and semantic structures, which should be available for machine processing and sharing. Using SPARQL queries for retrieval of required elements from ontologies and knowledge bases, can significantly simplify modeling of arbitrary structures of concepts and data, and i mplementation of required functionalities. This paper describes developed ontology for support of Research Centre for testing of active substances that conducts scientific experiments. Ac cording to created ontology corresponding knowledge base was made and populated with real experimental data. Developed ontology and knowledge base are directly used for an intelligent system of experiment search which is based on many criteria f rom ontology. Proposed system gets the desired search result, which is actually an experim ent in the form of a written report. Presented solution and implementation are very flex ible and adaptable, and can be used as kind of a template by similar information system de aling with biological or similar complex system.