The advantages of combinatorial catalysis are mainly provided by a high throughput experiment. The technology introduces two methodologies to catalysis developments: one is a stochastic method such as genetic algorism useful for the investigation of large combinatorial space which appears when we treat multiphase materials. The other is a data mining technology such as artificial neural network for withdrawing knowledge from large database. The disadvantage of combinatorial catalysis at present is the poor surface characterization of catalyst library. We have examined the surface analysis of a combinatorial library to realize “Materiomics” in catalysis field. “Materiomics” is the comprehensive research of functional materials whose ultimate goal is the achievement of enough knowledge to design functional materials as we like. Combinatorial methodology is suitable to obtain systematic database useful to understand interactions among multiple chemical species. Our recent results directed to the fusion of surface science and combinatorial catalysis are described.