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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