Design and implementation for semantic information retrieval through convergence of ontology and user context based on mobile device

被引：1
作者：
Gu M.S. [1 ]
Hwang J. [2 ]
Mun H.-J. [3 ]
机构：
[1] Creative Convergence Center, Chungbuk National University, 12 Gaeshin-dong, Chungbuk, Cheongju
[2] Geoscience Information Center, Korea Institute of Geoscience & Mineral Resources (KIGAM), 92 Gwahak-ro, Yuseong-gu, Daejeon
[3] Department of Information & Communication Engineering, Sungkyul University, 53 Sungkyul Unversity-Ro, Manan-Gu, Gyeonggi-Do, Anyang-Si
来源：
Personal and Ubiquitous Computing | 2023年 / 27卷 / 03期
关键词：
Context aware; Geosemantic; Information retrieval; Mobile device; Onotology; Semantic information retrieval;
D O I：
10.1007/s00779-020-01503-2
中图分类号：
学科分类号：
摘要：
On account of prevalence of mobile devices, a variety of mobile-based services have been conducted recently. In this situation, it is possible to serve the information that fits to users’ requests according to the users’ context using mobile devices. Therefore, it is necessary to research data mining techniques with mobile devices. Therefore, we researched information retrieval system in mobile environment. We applied semantic data mining method with context information ontology. These techniques of semantic information retrieval can provide the information according to users’ context information such as location, weather, user preference etc. exactly and rapidly anytime and anyplace. In modern society, it is essential to develop mobile information retrieval system which is efficient to users. Also, the system can provide users’ current location and the location information with Google map APIs in mobile devices. Therefore, in this paper, we researched semantic data mining technique with context information ontology using mobile techniques. And we compared and evaluated our proposed model and the existing model in three areas and showed our proposed model has higher performance. © 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd. part of Springer Nature.
引用
收藏
页码：1123 / 1138
页数：15
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