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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