Knowledge Graph Development for App Store Data Modeling
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These days usage of mobile applications has become quite a normal part of our lives, since every day we use our smartphones for communication, entertainment, business and even education. A high demand on various apps has led to significant growth of supply. Large number of apps offered, in turn, has led to complications in user's search of the one perfectly suitable application. In this paper the authors have made an attempt to solve the problem of facilitating the search in app stores. With the help of a websites crawling software a sample of data was retrieved from one of the well-known mobile app stores and divided into 11 groups by types. Afterwards 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. This Schema creation is the first step in the process of developing a Knowledge Graph that will perform applications grouping to facilitate users search in app stores.
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