  Usage of mobile applications has become a part of our lives today, since
every day we use our smartphones for communication, entertainment, business and
education. High demand on apps has led to significant growth of supply, yet
large offer has caused complications in users search of the one suitable
application. The authors have made an attempt to solve the problem of
facilitating the search in app stores. With the help of a website crawling
software a sample of data was retrieved from one of the well-known mobile app
stores and divided into 11 groups by types. These groups of data were used to
construct a Knowledge Schema - a graphic model of interconnections of data that
characterize any mobile app in the selected store. Schema creation is the first
step in the process of developing a Knowledge Graph that will perform
applications clustering to facilitate users search in app stores.
