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Article

On Information Search Measures and Metrics Within Integration of Information Systems on Inorganic Substances Properties

Dudarev V.A., Kiselyova N., Temkin I.

One of the main tasks in the integration of information systems is to provide relevant retrieval of information consolidated from heterogeneous sources. In the field of inorganic chemistry and materials science, set-theoretic methods of searching for relevant information are known. They ensure the construction of a sufficiently high-quality response to user requests. However, the problem of quantifying evaluation of information search relevance in this subject area remains open. This paper proposes an approach to quantifying evaluation of the relevance of information retrieval in integrated systems on inorganic substances and materials properties by introducing the relevance graph built on chemical objects. A “chemical similarity” metric and measure are proposed and their properties are discussed.