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dc.contributor Казанский федеральный университет
dc.contributor.author Gusenkov Aleksandr Mihajlovich
dc.contributor.author Bukharaev Naille Raisovich
dc.date.accessioned 2019-04-12T13:02:57Z
dc.date.available 2019-04-12T13:02:57Z
dc.date.issued 2019
dc.identifier.citation Gusenkov A. On Semantic Search Algorithm Optimization / A. Gusenkov, N. Bukharaev // Rocha Á., Adeli H., Reis L., Costanzo S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing. - 2019. - Vol. 930. Springer, Cham
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/150563
dc.description.abstract In the article we consider, on the example of development of a relational database (RDB) information system for Tatneft oil and gas company, an approach to organization of effective search in large arrays of heterogeneous data, satisfying the following essential requirements. On the one hand, the data is integrated at the semantic level, i.e. the system supports the presentation of data, describing its semantic properties within an unified subject domain ontology. Accordingly, end user's request are formulated exclusively in the subject domain terminology. On the other hand, the system generates unregulated SQL-queries, i.e. the full text of possible SQL-queries, not just values of particular parameters, predefined by the system developers. Considered approach includes both the possibilities of increasing the reactivity of the universal SQL queries generation scheme as well as more specific optimization possibilities, arising from the particular system usage context.
dc.language.iso en
dc.relation.ispartofseries WorldCIST'19: World Conference on Information Systems and Technologies New Knowledge in Information Systems and Technologies
dc.rights открытый доступ
dc.subject Keywords: Semantic search
dc.subject Intellectual search
dc.subject Ontology
dc.subject Algorithm optimization
dc.title On Semantic Search Algorithm Optimization
dc.type Article
dc.contributor.org Институт вычислительной математики и информационных технологий
dc.description.pages 472-481
dc.relation.ispartofseries-volume 2
dc.pub-id 199117
dc.identifier.doi 0.1007/978-3-030-16181-1_45


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