  A method for representing the digest information of each dataset is proposed,
oriented to the aid of innovative thoughts and the communication of data users
who attempt to create valuable products, services, and business models using or
combining datasets. Compared with methods for connecting datasets via shared
attributes (i.e., variables), this method connects datasets via events,
situations, or actions in a scenario that is supposed to be active in the real
world. This method reflects the consideration of the fitness of each metadata
to the feature concept, which is an abstract of the information or knowledge
expected to be acquired from data; thus, the users of the data acquire
practical knowledge that fits the requirements of real businesses and real
life, as well as grounds for realistic application of AI technologies to data.
