Semantic Data Mining Based on Ranking in Internet-Enabled Information Systems

被引：8
|
作者：
Korzun, Dmitry [1 ]
Voronin, Anatoly [2 ]
Shegelman, Ilya [3 ]
机构：
[1] Petrozavodsk State Univ, Dept Comp Sci, Petrozavodsk, Republic Of Kar, Russia
[2] Petrozavodsk State Univ, Dept Appl Math & Cybernet, Petrozavodsk, Republic Of Kar, Russia
[3] Petrozavodsk State Univ, Dept End To End Technol & Econ Secur, Petrozavodsk, Republic Of Kar, Russia
来源：
FUZZY SYSTEMS AND DATA MINING V (FSDM 2019) | 2019年 / 320卷
关键词：
Internet of Things; Collaborative environment; Smart service; Semantic data mining; Information access; Ranking;
D O I：
10.3233/FAIA190186
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Collaborative work environments are a particular case of Internet-enabled information systems where the role of data mining is essential in creating digital support for people working together. The support is in the form of smart services to access to up-to-date information and evaluate its relevance. In this paper, we present an adaptive strategy of active control information updates for use in dynamic collaborative activity. We show applicable ranking methods of semantic data mining for selecting relevant information in collaborative activity.
引用
收藏
页码：237 / 242
页数：6
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