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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/30396
Title: Patent landscapes & new technology trends in IoT: extracting and visualizing data patterns
Authors: Stulov, N.
Keywords: материалы конференций
patent mining
text mining
decision support
patent landscape
information extraction
Issue Date: 2018
Publisher: БГУИР
Citation: Stulov, N. Patent landscapes & new technology trends in IoT: extracting and visualizing data patterns / N. Stulov // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2018) : материалы международной научно-технической конференции (Минск, 15 - 17 февраля 2018 года) / редкол. : В. В. Голенков (отв. ред.) [и др.]. – Минск : БГУИР, 2018. – С. 293 – 296.
Abstract: Extracting complex relations in unstructured data is a challenging and promising task in any field, especially fast- growing like Internet of Things (IoT). In this work we research different methods to extract and represent these relations. As a result, we present a set of text mining and patent mining tools and an approach to further building knowledge-based decision support system.
URI: https://libeldoc.bsuir.by/handle/123456789/30396
Appears in Collections:OSTIS-2018

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