The learning process is defined in more detail by Cimiano et al. 19 who see the problem of learning ontologies as a data mining problem, and present a system composed of different modules: the ontology management module used by the ontology engineer to manipulate the ontologies, the coordination module used to interact with all, imaging data is one of the most important fundamentals of today's life sciences. Our goal was to build an ontology to describe imaging metadata as a data schema of the integrated database for light and electron microscopy images combined with various bio-entities. To achieve this, we applied Resource Description Framework, Ontologies as a data integration tool. The map of concepts and relationships in an ontology provides a crucial resource for true semantic data integration. An ontology allows information from one resource to be precisely mapped at an extremely granular level to information from another source. The model is expressed in a modeling language that uses the syntax, semantics, constraints, and patterns defined by a metamodel. There is a semantic mapping from the metamodel to a metamodel ontology which is the specialization of metamodel concepts needed to instantiate a domain ontology over ontologies. This paper aims to present a generalized ontology model for the VRP vehicle routing problem and gives some results. case studies on handling plant material. The vehicle routing problem is a logistical task in which customers with a specific product need are served over the shortest possible distance traveled by vehicles. The Vehicle, This chapter considers the notion of formal ontology, which is a conceptual vocabulary with logical semantics. Three families of formalisms for knowledge representation and reasoning which place ontologies at the heart of any knowledge base are presented, namely: description logics, conceptual graphs and existential rules.